RAW                                                      P. Thubert, Ed.
Internet-Draft                                             Cisco Systems
Intended status: Informational                         G.Z. Papadopoulos
Expires: 18 July 2022                                     IMT Atlantique
                                                         14 January 2022

              Reliable and Available Wireless Architecture


   Reliable and Available Wireless (RAW) provides for high reliability
   and availability for IP connectivity over a wireless medium.  The
   wireless medium presents significant challenges to achieve
   deterministic properties such as low packet error rate, bounded
   consecutive losses, and bounded latency.  This document defines the
   RAW Architecture following an OODA loop that involves OAM, PCE, PSE
   and PAREO functions.  It builds on the DetNet Architecture and
   discusses specific challenges and technology considerations needed to
   deliver DetNet service utilizing scheduled wireless segments and
   other media, e.g., frequency/time-sharing physical media resources
   with stochastic traffic.

Status of This Memo

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   provisions of BCP 78 and BCP 79.

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   This Internet-Draft will expire on 18 July 2022.

Copyright Notice

   Copyright (c) 2022 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

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   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents (https://trustee.ietf.org/
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   Please review these documents carefully, as they describe your rights
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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
   2.  The RAW problem . . . . . . . . . . . . . . . . . . . . . . .   5
     2.1.  Terminology . . . . . . . . . . . . . . . . . . . . . . .   5
       2.1.1.  Acronyms  . . . . . . . . . . . . . . . . . . . . . .   6
       2.1.2.  Link and Direction  . . . . . . . . . . . . . . . . .   7
       2.1.3.  Path and Tracks . . . . . . . . . . . . . . . . . . .   7
       2.1.4.  Deterministic Networking  . . . . . . . . . . . . . .   8
       2.1.5.  Reliability and Availability  . . . . . . . . . . . .   9
       2.1.6.  OAM variations  . . . . . . . . . . . . . . . . . . .  10
     2.2.  Reliability and Availability  . . . . . . . . . . . . . .  11
       2.2.1.  High Availability Engineering Principles  . . . . . .  12
       2.2.2.  Applying Reliability Concepts to Networking . . . . .  14
       2.2.3.  Reliability in the Context of RAW . . . . . . . . . .  15
     2.3.  Routing Time Scale vs. Forwarding Time Scale  . . . . . .  16
   3.  The RAW Conceptual Model  . . . . . . . . . . . . . . . . . .  18
   4.  The OODA Loop . . . . . . . . . . . . . . . . . . . . . . . .  20
     4.1.  Observe: The RAW OAM  . . . . . . . . . . . . . . . . . .  21
     4.2.  Orient: The Path Computation Engine . . . . . . . . . . .  22
     4.3.  Decide: The Path Selection Engine . . . . . . . . . . . .  22
     4.4.  Act: The PAREO Functions  . . . . . . . . . . . . . . . .  24
       4.4.1.  Packet Replication  . . . . . . . . . . . . . . . . .  25
       4.4.2.  Packet Elimination  . . . . . . . . . . . . . . . . .  26
       4.4.3.  Promiscuous Overhearing . . . . . . . . . . . . . . .  26
       4.4.4.  Constructive Interference . . . . . . . . . . . . . .  27
   5.  Security Considerations . . . . . . . . . . . . . . . . . . .  27
     5.1.  Forced Access . . . . . . . . . . . . . . . . . . . . . .  27
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  27
   7.  Contributors  . . . . . . . . . . . . . . . . . . . . . . . .  28
   8.  Acknowledgments . . . . . . . . . . . . . . . . . . . . . . .  28
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  28
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  28
     9.2.  Informative References  . . . . . . . . . . . . . . . . .  30
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  31

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1.  Introduction

   Deterministic Networking is an attempt to emulate the properties of a
   serial link over a switched fabric, by providing a bounded latency
   and eliminating congestion loss, even when co-existing with best-
   effort traffic.  It is getting traction in various industries
   including professional A/V, manufacturing, online gaming, and
   smartgrid automation, enabling cost and performance optimizations
   (e.g., vs. loads of P2P cables).

   Bringing determinism in a packet network means eliminating the
   statistical effects of multiplexing that result in probabilistic
   jitter and loss.  This can be approached with a tight control of the
   physical resources to maintain the amount of traffic within a
   budgeted volume of data per unit of time that fits the physical
   capabilities of the underlying network, and the use of time-shared
   resources (bandwidth and buffers) per circuit, and/or by shaping and/
   or scheduling the packets at every hop.

   This innovation was initially introduced on wired networks, with IEEE
   802.1 Time Sensitive networking (TSN) - for Ethernet LANs - and IETF
   DetNet.  But the wired and the wireless media are fundamentally
   different at the physical level and in the possible abstractions that
   can be built for IPv6 [IPoWIRELESS].  Nevertheless, deterministic
   capabilities are required in a number of wireless use cases as well
   [RAW-USE-CASES].  With new scheduled radios such as TSCH and OFDMA
   [RAW-TECHNOS] being developped to provide determinism over wireless
   links at the lower layers, providing DetNet capabilities is now
   becoming possible.

   Wireless networks operate on a shared medium where uncontrolled
   interference, including the self-induced multipath fading cause
   random transmission losses.  Fixed and mobile obstacles and
   reflectors may block or alter the signal, causing transient and
   unpredictable variations of the throughput and packet delivery ratio
   (PDR) of a wireless link.  This adds new dimensions to the
   statistical effects that affect the quality and reliability of the
   link.  Multiple links and transmissions must be used, and the
   challenge is to provide enough diversity and redundancy to ensure the
   timely packet delivery while preserving energy and optimizing the use
   of the shared spectrum.

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   Reliable and Available Wireless (RAW) takes up the challenge of
   providing highly available and reliable end-to-end performances in a
   network with scheduled wireless segments.  To defeat those additional
   causes of transmission delay and loss, RAW leverages deterministic
   layer-2 capabilities while controlling the use of diversity in the
   spatial, time, code, radio technology, and frequency domains from

   While the generic "Deterministic Networking Problem Statement"
   [RFC8557] applies to both the wired and the wireless media, the
   methods to achieve RAW must extend those used to support time-
   sensitive networking over wires, as a RAW solution has to address
   less consistent transmissions, energy conservation and shared
   spectrum efficiency.

   RAW provides DetNet elements that are specialized for IPv6 flows
   [IPv6] over selected deterministic radios technologies [RAW-TECHNOS].
   Conceptually, RAW is agnostic to the radio layer underneath though
   the capability to schedule transmissions is assumed.  How the PHY is
   programmed to do so, and whether the radio is single-hop or meshed,
   are unknown at the IP layer and not part of the RAW abstraction.
   Nevertheless, cross-layer optimizations may take place to ensure
   proper link awareness (think, link quality) and packet handling
   (think, scheduling).

   The "Deterministic Networking Architecture" [RFC8655] is composed of
   three planes: the Application (User) Plane, the Controller Plane, and
   the Network Plane.  The RAW Architecture extends the DetNet Network
   Plane, to accommodate one or multiple hops of homogeneous or
   heterogeneous wireless technologies, e.g. a Wi-Fi6 Mesh or parallel
   CBRS access links federated by a 5G backhaul.

   RAW and DetNet route application flows that require a special
   treatment along the paths that will provide that treatment.  This may
   be seen as a form of Path Aware Networking and may be subject to
   impediments documented in [RFC9049].

   The establishment of a path is not in-scope for RAW.  It may be the
   product of a centralized Controller Plane as described for DetNet.
   As opposed to wired networks, the action of installing a path over a
   set of wireless links may be very slow relative to the speed at which
   the radio conditions vary, and it makes sense in the wireless case to
   provide redundant forwarding solutions along a complex path and to
   leave it to the Network Plane to select which of those forwarding
   solutions are to be used for a given packet based on the current

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   RAW distinguishes the longer time scale at which routes are computed
   from the the shorter forwarding time scale where per-packet decisions
   are made.  RAW operates within the Network Plane at the forwarding
   time scale on one DetNet flow over a complex path called a Track.
   The Track is preestablished and installed by means outside of the
   scope of RAW; it may be strict or loose depending on whether each or
   just a subset of the hops are observed and controlled by RAW.

   The RAW Architecture is based on an abstract OODA Loop (Observe,
   Orient, Decide, Act).  The generic concept involves:

   1.  Network Plane measurement protocols for Operations,
       Administration and Maintenance (OAM) to Observe some or all hops
       along a Track as well as the end-to-end packet delivery

   2.  Controller plane elements to reports the links statistics to a
       Path computation Element (PCE) in a centralized controller that
       computes and installs the Tracks and provides meta data to Orient
       the routing decision

   3.  A Runtime distributed Path Selection Engine (PSE) that Decides
       which subTrack to use for the next packet(s) that are routed
       along the Track

   4.  Packet (hybrid) ARQ, Replication, Elimination and Ordering
       Dataplane actions that operate at the DetNet Service Layer to
       increase the reliability of the end-to-end transmissions.  The
       RAW architecture also covers in-situ signalling when the decision
       is Acted by a node that down the Track from the PSE.

   The overall OODA Loop optimizes the use of redundancy to achieve the
   required reliability and availability Service Level Agreement (SLA)
   while minimizing the use of constrained resources such as spectrum
   and battery.

   This document presents the RAW problem and associated terminology in
   Section 2, and elaborates in Section 4 on the OODA loop based on the
   RAW conceptual model presented in Section 3.

2.  The RAW problem

2.1.  Terminology

   RAW reuses terminology defined for DetNet in the "Deterministic
   Networking Architecture" [RFC8655], e.g., PREOF for Packet
   Replication, Elimination and Ordering Functions.

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   RAW also reuses terminology defined for 6TiSCH in [6TiSCH-ARCHI] such
   as the term Track.  A Track associates a complex path with PAREO and
   shaping operations.  The concept is agnostic to the underlaying
   technology and applies to any fully or partially wireless mesh,
   including, e.g., a Wi-Fi mesh.  RAW specifies strict and loose Tracks
   depending on whether the path is fully controlled by RAW or traverses
   an opaque network where RAW cannot observe and control the individual

   RAW uses the following terminology and acronyms:

2.1.1.  Acronyms  ARQ

   Automatic Repeat Request, enabling an acknowledged transmission and
   retries.  ARQ is a typical model at Layer-2 on a wireless medium.
   ARQ is typically implemented hop-by-hop and not end-to-end in
   wireless networks.  Else, it introduces excessive indetermination in
   latency, but a limited number of retries within a bounded time may be
   used within end-to-end constraints.  OAM

   OAM stands for Operations, Administration, and Maintenance, and
   covers the processes, activities, tools, and standards involved with
   operating, administering, managing and maintaining any system.  This
   document uses the terms Operations, Administration, and Maintenance,
   in conformance with the 'Guidelines for the Use of the "OAM" Acronym
   in the IETF' [RFC6291] and the system observed by the RAW OAM is the
   Track.  OODA

   Observe, Orient, Decide, Act. The OODA Loop is a conceptual cyclic
   model developed by USAF Colonel John Boyd, and that is applicable in
   multiple domains where agility can provide benefits against brute
   force.  PAREO

   Packet (hybrid) ARQ, Replication, Elimination and Ordering.  PAREO is
   a superset Of DetNet's PREOF that includes radio-specific techniques
   such as short range broadcast, MUMIMO, PHY rate and other Modulation
   Coding Scheme (MCS) adaptation, constructive interference and
   overhearing, which can be leveraged separately or combined to
   increase the reliability.

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2.1.2.  Link and Direction  Flapping

   In the context of RAW, a link flaps when the reliability of the
   wireless connectivity drops abruptly for a short period of time,
   typically of a subsecond to seconds duration.  Uplink

   Connection from end-devices to a data communication equipment.  In
   the context of wireless, uplink refers to the connection between a
   station (STA) and a controller (AP) or a User Equipment (UE) to a
   Base Station (BS) such as a 3GPP 5G gNodeB (gNb).  Downlink

   The reverse direction from uplink.  Downstream

   Following the direction of the flow data path along a Track.  Upstream

   Against the direction of the flow data path along a Track.

2.1.3.  Path and Tracks  Path

   Quoting section 1.1.3 of [INT-ARCHI]:

   |  At a given moment, all the IP datagrams from a particular source
   |  host to a particular destination host will typically traverse the
   |  same sequence of gateways.  We use the term "path" for this
   |  sequence.  Note that a path is uni-directional; it is not unusual
   |  to have different paths in the two directions between a given host
   |  pair.

   Section 2 of [I-D.irtf-panrg-path-properties] points to a longer,
   more modern definition of path, which begins as follows:

   |  A sequence of adjacent path elements over which a packet can f be
   |  transmitted, starting and ending with a node.  A path is
   |  unidirectional.  Paths are time-dependent, i.e., the sequence of
   |  path elements over which packets are sent from one node to another
   |  may change.  A path is defined between two nodes.

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   It follows that the general acceptance of a path is a linear sequence
   of nodes, as opposed to a multi-dimensional graph.  In the context of
   this document, a path is observed by following one copy of a packet
   that is injected in a Track and possibly replicated within.  Track

   A networking graph that can be followed to transport packets with
   equivalent treatment; as opposed to the definition of a path above, a
   Track is not necessarily a linear sequence.  It may contain multiple
   paths that may fork and rejoin, for instance to enable the RAW PAREO

   In DetNet [RFC8655] terms, a Track has the following properties:

   *  A Track has one Ingress and one Egress nodes, which operate as
      DetNet Edge nodes.

   *  A Track is reversible, meaning that packets can be routed against
      the flow of data packets, e.g., to carry OAM measurements or
      control messages back to the Ingress.

   *  The vertices of the Track are DetNet Relay nodes that operate at
      the DetNet Service sublayer and provide the PAREO functions.

   *  The topological edges of the graph are serial sequences of DetNet
      Transit nodes that operate at the DetNet Forwarding sublayer.  SubTrack

   A Track within a Track.  The RAW PSE selects a subTrack on a per-
   packet or a per-collection of packets basis to provide the desired
   reliability for the transported flows.  Segment

   A serial path formed by a topological edge of a Track.  East-West
   Segments are oriented from Ingress (East) to Egress (West).  North/
   South Segments can be bidirectional; to avoid loops, measures must be
   taken to ensure that a given packet flows either Northwards or
   Southwards along a bidirectional Segment, but never bounces back.

2.1.4.  Deterministic Networking

   This document reuses the terminology in section 2 of [RFC8557] and
   section 4.1.2 of [RFC8655] for deterministic networking and
   deterministic networks.

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Internet-Draft         RAW Architecture/Framework           January 2022  Flow

   A collection of consecutive IP packets defined by the upper layers
   and signaled by the same 5 or 6-tuple, see section 5.1 of [RFC8939].
   Packets of the same flow must be placed on the same Track to receive
   an equivalent treatment from Ingress to Egress within the Track.
   Multiple flows may be transported along the same Track.  The subTrack
   that is selected for the flow may change over time under the control
   of the PSE.  Deterministic Flow Identifier (L2)

   A tuple identified by a stream_handle, and provided by a bridge, in
   accordance with IEEE 802.1CB.  The tuple comprises at least src MAC,
   dst MAC, VLAN ID, and L2 priority.  Continuous streams are
   characterized by bandwidth and max packet size; scheduled streams are
   characterized by a repeating pattern of timed transmissions.  Deterministic Flow Identifier (L3)

   See section 3.3 of [DetNet-DP].  The classical IP 5-tuple that
   identifies a flow comprises the src IP, dst IP, src port, dest port,
   and the upper layer protocol (ULP).  DetNet uses a 6-tuple where the
   extra field is the DSCP field in the packet.  The IPv6 flow label is
   not used for that purpose.  TSN

   TSN stands for Time Sensitive Networking and denotes the efforts at
   IEEE 802 for deterministic networking, originally for use on
   Ethernet.  Wireless TSN (WTSN) denotes extensions of the TSN work on
   wireless media such as the selected RAW technologies [RAW-TECHNOS].

2.1.5.  Reliability and Availability

   In the context of the RAW work, Reliability and Availability are
   defined as follows:  Service Level Agreement

   In the context of RAW, an SLA (service level agreement) is a contract
   between a provider, the network, and a client, the application flow,
   about measurable metrics such as latency boundaries, consecutive
   losses, and packet delivery ratio (PDR).

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Internet-Draft         RAW Architecture/Framework           January 2022  Service Level Objective

   A service level objective (SLO) is one term in the SLA, for which
   specific network setting and operations are implemented.  For
   instance, a dynamic tuning of the packet redundancy will address an
   SLO of consecutive losses in a row by augmenting the chances of
   delivery of a packet that follows a loss.).  Service Level Indicator

   A service level indicator (SLI) measures the compliance of an SLO to
   the terms of the contrast.  It can be for instance the statistics of
   individual losses and losses in a row as time series.).  Reliability

   Reliability is a measure of the probability that an item will perform
   its intended function for a specified interval under stated
   conditions (SLA).  RAW expresses reliability in terms of Mean Time
   Between Failure (MTBF) and Maximum Consecutive Failures (MCF).  More
   in [NASA].).  Available

   That is exempt of unscheduled outage or derivation from the terms of
   the SLA.  A basic expectation for a RAW network is that the flow is
   maintained in the face of any single breakage or flapping.  Availability

   Availability is a measure of the relative amount of time where a RAW
   Network operates in stated condition (SLA), expressed as
   (uptime)/(uptime+downtime).  Because a serial wireless path may not
   be good enough to provide the required reliability, and even 2
   parallel paths may not be over a longer period of time, the RAW
   availability implies a journey that is a lot more complex than
   following a serial path.

2.1.6.  OAM variations  Active OAM

   See [RFC7799].  In the context of RAW, Active OAM is used to observe
   a particular Track, subTrack, or Segment of a Track regardless of
   whether it is used for traffic at that time.

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Internet-Draft         RAW Architecture/Framework           January 2022  In-Band OAM

   An active OAM packet is considered in-band for the monitored Track
   when it traverses the same set of links and interfaces and if the OAM
   packet receives the same QoS and PAREO treatment as the packets of
   the data flows that are injected in the Track.  Out-of-Band OAM

   Out-of-band OAM is an active OAM whose path is not topologically
   congruent to the Track, or its test packets receive a QoS and/or
   PAREO treatment that is different from that of the packets of the
   data flows that are injected in the Track, or both.  Limited OAM

   An active OAM packet is a Limited OAM packet when it observes the RAW
   operation over a node, a segment, or a subTrack of the Track, though
   not from Ingress to Egress.  It is injected in the datapath and
   extracted from the datapath around the particular function or
   subnetwork (e.g., around a relay providing a service layer
   replication point) that is being tested.  Upstream OAM

   An upstream OAM packet is an Out-of-Band OAM packet that traverses
   the Track from egress to ingress on the reverse direction, to capture
   and report OAM measurements upstream.  The collection may capture all
   information along the whole Track, or it may only learn select data
   across all, or only a particular subTrack, or Segment of a Track.  Residence Time

   A residence time (RT) is defined as the time period between the
   reception of a packet starts and the transmission of the packet
   begins.  In the context of RAW, RT is useful for a transit node, not
   ingress or egress.  Additional References

   [DetNet-OAM] provides additional terminology related to OAM in the
   context of DetNet and by extension of RAW, whereas [RFC7799] defines
   the Active, Passive, and Hybrid OAM methods.

2.2.  Reliability and Availability

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2.2.1.  High Availability Engineering Principles

   The reliability criteria of a critical system pervades through its
   elements, and if the system comprises a data network then the data
   network is also subject to the inherited reliability and availability
   criteria.  It is only natural to consider the art of high
   availability engineering and apply it to wireless communications in
   the context of RAW.

   There are three principles [pillars] of high availability

   1.  elimination of single points of failure
   2.  reliable crossover
   3.  prompt detection of failures as they occur.

   These principles are common to all high availability systems, not
   just ones with Internet technology at the center.  Examples of both
   non-Internet and Internet are included.  Elimination of Single Points of Failure

   Physical and logical components in a system happen to fail, either as
   the effect of wear and tear, when used beyond acceptable limits, or
   due to a software bug.  It is necessary to decouple component failure
   from system failure to avoid the latter.  This allows failed
   components to be restored while the rest of the system continues to

   IP Routers leverage routing protocols to compute alternate routes in
   case of a failure.  There is a rather open-ended issue over alternate
   routes -- for example, when links are cabled through the same
   conduit, they form a shared risk link group (SRLG), and will share
   the same fate if the bundle is cut.  The same effect can happen with
   virtual links that end up in a same physical transport through the
   games of encapsulation.  In a same fashion, an interferer or an
   obstacle may affect multiple wireless transmissions at the same time,
   even between different sets of peers.

   Intermediate network Nodes such as routers, switches and APs, wire
   bundles and the air medium itself can become single points of
   failure.  For High Availability, it is thus required to use
   physically link- and Node-disjoint paths; in the wireless space, it
   is also required to use the highest possible degree of diversity
   (time, space, code, frequency, channel width) in the transmissions
   over the air to combat the additional causes of transmission loss.

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   From an economics standpoint, executing this principle properly
   generally increases capitalization expense because of the redundant
   equipment.  In a constrained network where the waste of energy and
   bandwidth should be minimized, an excessive use of redundant links
   must be avoided; for RAW this means that the extra bandwidth must be
   used wisely and with parcimony.  Reliable Crossover

   Having a backup equipment has a limited value unless it can be
   reliably switched into use within the down-time parameters.  IP
   Routers execute reliable crossover continuously because the routers
   will use any alternate routes that are available [RFC0791].  This is
   due to the stateless nature of IP datagrams and the dissociation of
   the datagrams from the forwarding routes they take.  The "IP Fast
   Reroute Framework" [FRR] analyzes mechanisms for fast failure
   detection and path repair for IP Fast-Reroute, and discusses the case
   of multiple failures and SRLG.  Examples of FRR techniques include
   Remote Loop-Free Alternate [RLFA-FRR] and backup label-switched path
   (LSP) tunnels for the local repair of LSP tunnels using RSVP-TE

   Deterministic flows, on the contrary, are attached to specific paths
   where dedicated resources are reserved for each flow.  This is why
   each DetNet path must inherently provide sufficient redundancy to
   provide the guaranteed SLA at all times.  The DetNet PREOF typically
   leverages 1+1 redundancy whereby a packet is sent twice, over non-
   congruent paths.  This avoids the gap during the fast reroute
   operation, but doubles the traffic in the network.

   In the case of RAW, the expectation is that multiple transient faults
   may happen in overlapping time windows, in which case the 1+1
   redundancy with delayed reestablishment of the second path will not
   provide the required guarantees.  The Data Plane must be configured
   with a sufficient degree of redundancy to select an alternate
   redundant path immediately upon a fault, without the need for a slow
   intervention from the controller plane.  Prompt Notification of Failures

   The execution of the two above principles is likely to render a
   system where the user will rarely see a failure.  But someone needs
   to in order to direct maintenance.

   There are many reasons for system monitoring (FCAPS for fault,
   configuration, accounting, performance, security is a handy mental
   checklist) but fault monitoring is sufficient reason.

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   "An Architecture for Describing Simple Network Management Protocol
   (SNMP) Management Frameworks" [STD 62] describes how to use SNMP to
   observe and correct long-term faults.

   "Overview and Principles of Internet Traffic Engineering" [TE]
   discusses the importance of measurement for network protection, and
   provides abstract an method for network survivability with the
   analysis of a traffic matrix as observed by SNMP, probing techniques,
   FTP, IGP link state advertisements, and more.

   Those measurements are needed in the context of RAW to inform the
   controller and make the long term reactive decision to rebuild a
   complex path.  But RAW itself operates in the Network Plane at a
   faster time scale.  To act on the Data Plane, RAW needs live
   information from the Operational Plane , e.g., using Dynamic Link
   Exchange Protocol (DLEP) [DLEP] to obtain timely and accurate
   knowledge of the characteristics of the link (speed, state, etc.).

2.2.2.  Applying Reliability Concepts to Networking

   The terms Reliability and Availability are defined for use in RAW in
   Section 2.1 and the reader is invited to read [NASA] for more details
   on the general definition of Reliability.  Practically speaking a
   number of nines is often used to indicate the reliability of a data
   link, e.g., 5 nines indicate a Packet Delivery Ratio (PDR) of

   This number is typical in a wired environment where the loss is due
   to a random event such as a solar particle that affects the
   transmission of a particular frame, but does not affect the previous
   or next frame, nor frames transmitted on other links.  Note that the
   QoS requirements in RAW may include a bounded latency, and a packet
   that arrives too late is a fault and not considered as delivered.

   For a periodic networking pattern such as an automation control loop,
   this number is proportional to the Mean Time Between Failures (MTBF).
   When a single fault can have dramatic consequences, the MTBF
   expresses the chances that the unwanted fault event occurs.  In data
   networks, this is rarely the case.  Packet loss cannot never be fully
   avoided and the systems are built to resist to one loss, e.g., using
   redundancy with Retries (HARQ) or Packet Replication and Elimination
   (PRE), or, in a typical control loop, by linear interpolation from
   the previous measurements.

   But the linear interpolation method cannot resist multiple
   consecutive losses, and a high MTBF is desired as a guarantee that
   this will not happen, IOW that the number of losses-in-a-row can be
   bounded.  In that case, what is really desired is a Maximum

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   Consecutive Failures (MCF).  If the number of losses in a row passes
   the MCF, the control loop has to abort and the system, e.g., the
   production line, may need to enter an emergency stop condition.

   Engineers that build automated processes may use the network
   reliability expressed in nines or as an MTBF as a proxy to indicate
   an MCF, e.g., as described in section 7.4 of the "Deterministic
   Networking Use Cases" [RFC8578].

2.2.3.  Reliability in the Context of RAW

   In contrast with wired networks, errors in transmission are the
   predominant source of packet loss in wireless networks.

   The root cause for the loss may be of multiple origins, calling for
   the use of different forms of diversity:

   Multipath Fading  A destructive interference by a reflection of the
      original signal.

      A radio signal may be received directly (line-of-sight) and/or as
      a reflection on a physical structure (echo).  The reflections take
      a longer path and are delayed by the extra distance divided by the
      speed of light in the medium.  Depending on the frequency, the
      echo lands with a different phase which may add up to
      (constructive interference) or cancel the direct signal
      (destructive interference).

      The affected frequencies depend on the relative position of the
      sender, the receiver, and all the reflecting objects in the
      environment.  A given hop will suffer from multipath fading for
      multiple packets in a row till a phyqical movement changes the
      reflection patterns.

   Co-channel Interference  Energy in the spectrum used for the
      transmission confuses the receiver.

      The wireless medium itself is a Shared Risk Link Group (SRLG) for
      nearby users of the same spectrum, as an interference may affect
      multiple co-channel transmissions between different peers within
      the interference domain of the interferer, possibly even when they
      use different technologies.

   Obstacle in Fresnel Zone  The optimal transmission happens when the
      Fresnel Zone between the sender and the receiver is free of

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      As long as a physical object (e.g., a metallic trolley between
      peers) that affects the transmission is not removed, the quality
      of the link is affected.

   In an environment that is rich of metallic structures and mobile
   objects, a single radio link will provide a fuzzy service, meaning
   that it cannot be trusted to transport the traffic reliably over a
   long period of time.

   Transmission losses are typically not independent, and their nature
   and duration are unpredictable; as long as a physical object (e.g., a
   metallic trolley between peers) that affects the transmission is not
   removed, or as long as the interferer (e.g., a radar) keeps
   transmitting, a continuous stream of packets will be affected.

   The key technique to combat those unpredictable losses is diversity.
   Different forms of diversity are necessary to combat different causes
   of loss and the use of diversity must be maximized to optimize the

   A single packet may be sent at different times (time diversity) over
   diverse paths (spatial diversity) that rely on diverse radio channels
   (frequency diversity) and diverse PHY technologies, e.g., narrowband
   vs. spread spectrum, or diverse codes.  Using time diversity will
   defeat short-term interferences; spatial diversity combats very local
   causes such as multipath fading; narrowband and spread spectrum are
   relatively innocuous to one another and can be used for diversity in
   the presence of the other.

2.3.  Routing Time Scale vs. Forwarding Time Scale

   With DetNet, the Controller Plane Function that handles the routing
   computation and maintenance (the PCE) can be centralized and can
   reside outside the network.  In a wireless mesh, the path to the PCE
   can be expensive and slow, possibly going across the whole mesh and
   back.  Reaching to the PCE can also be slow in regards to the speed
   of events that affect the forwarding operation at the radio layer.

   Due to that cost and latency, the Controller Plane is not expected to
   be sensitive/reactive to transient changes.  The abstraction of a
   link at the routing level is expected to use statistical metrics that
   aggregate the behavior of a link over long periods of time, and
   represent its properties as shades of gray as opposed to numerical
   values such as a link quality indicator, or a boolean value for
   either up or down.

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                     |  Controller    |
                     |    [PCE]       |
         _-._-._-._-._-._-.  |  ._-._-._-._-._-._-._-._-._-._-._-._-
       _-._-._-._-._-._-._-. | _-._-._-._-._-._-._-._-._-._-._-._-
                      ....   |  .......
                  ....    .  | .       .......
               ....          v               ...
             ..    A-------B-------C---D        ..
          ...     /  \   /       /      \      ..
         .       I ----M-------N--***-- E        ..
         ..       \      \   /         /         ...
           ..      P--***--Q----------R        ....
             ..                              ....
              .   <----- Fast ------->    ....
               .......                ....

      *** = flapping at this time

                           Figure 1: Time Scales

   In the case of wireless, the changes that affect the forwarding
   decision can happen frequently and often for short durations, e.g., a
   mobile object moves between a transmitter and a receiver, and will
   cancel the line of sight transmission for a few seconds, or a radar
   measures the depth of a pool and interferes on a particular channel
   for a split second.

   There is thus a desire to separate the long term computation of the
   route and the short term forwarding decision.  In that model, the
   routing operation computes a complex Track that enables multiple Non-
   Equal Cost Multi-Path (N-ECMP) forwarding solutions, and leaves it to
   the Data Plane to make the per-packet decision of which of these
   possibilities should be used.

   In the wired world, and more specifically in the context of Traffic
   Engineering (TE), an alternate path can be used upon the detection of
   a failure in the main path, e.g., using OAM in MPLS-TP or BFD over a

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   collection of SD-WAN tunnels.  RAW formalizes a forwarding time scale
   that is an order(s) of magnitude shorter than the controller plane
   routing time scale, and separates the protocols and metrics that are
   used at both scales.  Routing can operate on long term statistics
   such as delivery ratio over minutes to hours, but as a first
   approximation can ignore flapping.  On the other hand, the RAW
   forwarding decision is made at the scale of the packet rate, and uses
   information that must be pertinent at the present time for the
   current transmission(s).

3.  The RAW Conceptual Model

   RAW inherits the conceptual model described in section 4 of the
   DetNet Architecture [RFC8655].  RAW extends the DetNet service layer
   to provide additional agility against transmission loss.

   A RAW Network Plane may be strict or loose, depending on whether RAW
   observes and takes actions on all hops or not.  For instance, the
   packets between two wireless entities may be relayed over a wired
   infrastructure such as a Wi-Fi extended service set (ESS) or a 5G
   Core; in that case, RAW observes and controls the transmission over
   the wireless first and last hops, as well as end-to-end metrics such
   as latency, jitter, and delivery ratio.  This operation is loose
   since the structure and properties of the wired infrastructure are
   ignored, and may be either controlled by other means such as DetNet/
   TSN, or neglected in the face of the wireless hops.

   A Controller Plane Function (CPF) called the Path Computation Element
   (PCE) [RFC4655] interacts with RAW Nodes over a Southbound API.  The
   RAW Nodes are DetNet relays that are capable of additional diversity
   mechanisms and measurement functions related to the radio interface,
   in particular the PAREO diversity mechanisms.

   The PCE defines a complex Track between an Ingress End System and an
   Egress End System, and indicates to the RAW Nodes where the PAREO
   operations may be actionned in the Network Plane.  The Track may be
   expressed loosely to enable traversing a non-RAW subnetwork.  In that
   case, the expectation is that the non-RAW subnetwork can be neglected
   in the RAW computation, that is, considered infinitely fast, reliable
   and/or available in comparison with the links between RAW nodes.

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           CPF               CPF          CPF                 CPF

                          Southbound API

                    RAW  --z   RAW  --z   RAW  --z   RAW
                z-- Node  z--  Node  z--  Node  z--  Node --z
     Ingress --z    /          /                           z-- Egress
     End           \          \         .. .                   End
     Node   ---z   /          /       .. ..  .             z-- Node
              z-- RAW  --z   RAW     ( non-RAW ) -- RAW --z
                  Node  z--  Node --- ( Nodes  )   Node
                                         ... .
     --z   wireless           wired
      z--  link           --- link

                            Figure 2: RAW Nodes

   The Link-Layer metrics are reported to the PCE in a time-aggregated,
   e.g., statistical fashion.  Example Link-Layer metrics include
   typical Link bandwidth (the medium speed depends dynamically on the
   PHY mode), number of flows (bandwidth that can be reserved for a
   flomw depends on the number and size of flows sharing the spectrum)
   and average and mean squared deviation of availability and
   reliability figures such as Packet Delivery Ratio (PDR) over long
   periods of time.

   Based on those metrics, the PCE installs the Track with enough
   redundant forwarding solutions to ensure that the Network Plane can
   reliably deliver the packets within a System Level Agreement (SLA)
   associated to the flows that it transports.  The SLA defines end-to-
   end reliability and availability requirements, where reliability may
   be expressed as a successful delivery in order and within a bounded
   delay of at least one copy of a packet.

   Depending on the use case and the SLA, the Track may comprise non-RAW
   segments, either interleaved inside the Track, or all the way to the
   Egress End Node (e.g., a server in the Internet).  RAW observes the
   Lower-Layer Links between RAW nodes (typically, radio links) and the
   end-to-end Network Layer operation to decide at all times which of
   the PAREO diversity schemes is actioned by which RAW Nodes.

   Once a Track is established, per-segment and end-to-end reliability
   and availability statistics are periodically reported to the PCE to
   assure that the SLA can be met or have it recompute the Track if not.

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4.  The OODA Loop

   The RAW Architecture is structured as an OODA Loop (Observe, Orient,
   Decide, Act).  It involves:

   1.  Network Plane measurement protocols for Operations,
       Administration and Maintenance (OAM) to Observe some or all hops
       along a Track as well as the end-to-end packet delivery, more in
       Section 4.1;

   2.  Controller plane elements to reports the links statistics to a
       Path computation Element (PCE) in a centralized controller that
       computes and installs the Tracks and provides meta data to Orient
       the routing decision, more in Section 4.2;

   3.  A Runtime distributed Path Selection Engine (PSE) thar Decides
       which subTrack to use for the next packet(s) that are routed
       along the Track, more in Section 4.3;

   4.  Packet (hybrid) ARQ, Replication, Elimination and Ordering
       Dataplane actions that operate at the DetNet Service Layer to
       increase the reliability o fthe end-to-end transmission.  The RAW
       architecture also covers in-situ signalling when the decision is
       Acted by a node that down the Track from the PSE, more in
       Section 4.4.

                     +-------> Orient (PCE) --------+
                     |          link stats,         |
                     |       pre-trained model      |
                     |             ...              |
                     |                              |
                     |                              v
                 Observe (OAM)                Decide (PSE)
                     ^                              |
                     |                              |
                     |                              |
                     +-------- Act (PAREO) <--------+
                                At DetNet
                             Service sublayer

                        Figure 3: The RAW OODA Loop

   The overall OODA Loop optimizes the use of redundancy to achieve the
   required reliability and availability Service Level Agreement (SLA)
   while minimizing the use of constrained resources such as spectrum
   and battery.

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4.1.  Observe: The RAW OAM

   RAW In-situ OAM operation in the Network Plane may observe either a
   full Track or subTracks that are being used at this time.  As packets
   may be load balanced, replicated, eliminated, and / or fragmented for
   Network Coding (NC) forward error correction (FEC), the RAW In-situ
   operation needs to be able to signal which operation occured to an
   individual packet.

   Active RAW OAM may be needed to observe the unused segments and
   evaluate the desirability of a rerouting decision.

   Finally, the RAW Service Layer Assurance may observe the individual
   PAREO operation of a relay node to ensure that it is conforming; this
   might require injecting an OAM packet at an upstream point inside the
   Track and extracting that packet at another point downstream before
   it reaches the egress.

   This observation feeds the RAW PSE that makes the decision on which
   PAREO function is actioned at which RAW Node, for one a small
   continuous series of packets.

                                         ...   ..
                      RAN 1  -----  ...      ..  ...
                   /              .    ..          ....
      +-------+  /              .            ..      ....    +------+
      |Ingress|-                .                     .....  |Egress|
      |  End  |------ RAN 2 -- .       Internet       ....---| End  |
      |System |-                ..                   .....   |System|
      +-------+  \               .               ......      +------+
                   \               ...   ...     .....
                      RAN n  --------  ...   .....

             <------------------> <-------------------->
                Observed by OAM       Opaque to OAM

            Figure 4: Observed Links in Radio Access Protection

   In the case of a End-to-End Protection in a Wireless Mesh, the Track
   is strict and congruent with the path so all links are observed.
   Conversely, in the case of Radio Access Protection, the Track is
   Loose and in that case only the first hop is observed; the rest of
   the path is abstracted and considered infinitely reliable.

   In the case of the Radio Access Protection, only the first hop is
   protected; the loss of a packet that was sent over one of the
   possible first hops is attributed to that first hop, even if a
   particular loss effectively happens farther down the path.

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   The Links that are not observed by OAM are opaque to it, meaning that
   the OAM information is carried across and possibly echoed as data,
   but there is no information capture in intermediate nodes.  In the
   example above, the Internet is opaque and not controlled by RAW;
   still the RAW OAM measures the end-to-end latency and delivery ratio
   for packets sent via each if RAN 1, RAN 2 and RAN 3, and determines
   whether a packet should be sent over either or a collection of those
   access links.

4.2.  Orient: The Path Computation Engine

   RAW separates the path computation time scale at which a complex path
   is recomputed from the path selection time scale at which the
   forwarding decision is taken for one or a few packets (see in
   Section 2.3).

   The path computation is out of scope, but RAW expects that the
   Controller plane protocol that installs the Track also provides
   related knowledge in the form of meta data about the links, segments
   and possible subTracks.  That meta data can be a pre-digested
   statistical model, and may include prediction of future flaps and
   packet loss, as well as recommended actions when that happens.

   The meta data may include:

   *  Pre-Determined subTracks to match predictable error profiles

   *  Pre-Trained models

   *  Link Quality Statistics and their projected evolution

   The Track is installed with measurable objectives that are computed
   by the PCE to achieve the RAW SLA.  The objectives can be expressed
   as any of maximum number of packet lost in a row, bounded latency,
   maximal jitter, maximum nmuber of interleaved out of order packets,
   average number of copies received at the elimination point, and
   maximal delay between the first and the last received copy of the
   same packet.

4.3.  Decide: The Path Selection Engine

   The RAW OODA Loop operates at the path selection time scale to
   provide agility vs. the brute force approach of flooding the whole
   Track.  The OODA Loop controls, within the redundant solutions that
   are proposed by the PCE, which will be used for each packet to
   provide a Reliable and Available service while minimizing the waste
   of constrained resources.

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   To that effect, RAW defines the Path Selection Engine (PSE) that is
   the counterpart of the PCE to perform rapid local adjustments of the
   forwarding tables within the diversity that the PCE has selected for
   the Track.  The PSE enables to exploit the richer forwarding
   capabilities with PAREO and scheduled transmissions at a faster time
   scale over the smaller domain that is the Track, in either a loose or
   a strict fashion.

   Compared to the PCE, the PSE operates on metrics that evolve faster,
   but that need to be advertised at a fast rate but only locally,
   within the Track.  The forwarding decision may also change rapidly,
   but with a scope that is also contained within the Track, with no
   visibility to the other Tracks and flows in the network.  This is as
   opposed to the PCE that must observe the whole network and optimize
   all the Tracks globally, which can only be done at a slow pace and
   using long-term statistical metrics, as presented in Table 1.

      |               |   PCE (Not in Scope)   |   PSE (In Scope)  |
      | Operation     |      Centralized       |  Source-Routed or |
      |               |                        |    Distributed    |
      | Communication |    Slow, expensive     |    Fast, local    |
      | Time Scale    |    hours and above     | seconds and below |
      | Network Size  | Large, many Tracks to  | Small, within one |
      |               |   optimize globally    |       Track       |
      | Considered    | Averaged, Statistical, |  Instant values / |
      | Metrics       |     Shade of grey      | boolean condition |

                           Table 1: PCE vs. PSE

   The PSE sits in the DetNet Service sub-Layer of Edge and Relay Nodes.
   On the one hand, it operates on the packet flow, learning the Track
   and path selection information from the packet, possibly making local
   decision and retagging the packet to indicate so.  On the other hand,
   the PSE interacts with the lower layers and with its peers to obtain
   up-to-date information about its radio links and the quality of the
   overall Track, respectively, as illustrated in Figure 5.

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        packet | going
      down the | stack
    |   (iOAM + iCTRL)    | (L2 Triggers, DLEP) |       (oOAM)        |
    |     Learn from                                 Learn from       |
    |    packet tagging           Maintain           end-to-end       |
    +----------v----------+      Forwarding          OAM packets      |
    | Forwarding decision <        State        +---------^-----------|
    +----------v----------+                     |      Enrich or      |
    +    Retag Packet     |  Learn abstracted   >     Regenerate      |
    |    and Forward      | metrics about Links |     OAM packets     |
    |                          Lower layers                           |
         frame | sent          Frame | L2 Ack        oOAM | | packet
          over | wireless        In  |                 In | | and out
               v                     |                    | v

                               Figure 5: PSE

4.4.  Act: The PAREO Functions

   RAW may control whether and how to use packet replication and
   elimination (PRE), Automatic Repeat reQuest (ARQ), Hybrid ARQ (HARQ)
   that includes Forward Error Correction (FEC) and coding, and other
   wireless-specific techniques such as overhearing and constructive
   interferences, in order to increase the reliabiility and availability
   of the end-to-end transmission.

   Collectively, those function are called PAREO for Packet (hybrid)
   ARQ, Replication, Elimination and Ordering.  By tuning dynamically
   the use of PAREO functions, RAW avoids the waste of critical
   resources such as spectrum and energy while providing that the
   guaranteed SLA, e.g., by adding redundancy only when a spike of loss
   is observed.

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   In a nutshell, PAREO establishes several paths in a network to
   provide redundancy and parallel transmissions to bound the end-to-end
   delay to traverse the network.  Optionally, promiscuous listening
   between paths is possible, such that the Nodes on one path may
   overhear transmissions along the other path.  Considering the
   scenario shown in Figure 6, many different paths are possible to
   traverse the network from ingress to egress.  A simple way to benefit
   from this topology could be to use the two independent paths via
   Nodes A, C, E and via B, D, F.  But more complex paths are possible
   by interleaving transmissions from the lower level of the path to the
   upper level.

                             (A) -- (C) -- (E)
                           /                   \
                  Ingress =   |      |      |   = Egress
                           \                   /
                             (B) -- (D) -- (F)

              Figure 6: A Ladder Shape with Two Parallel Paths

   PAREO may also take advantage of the shared properties of the
   wireless medium to compensate for the potential loss that is incurred
   with radio transmissions.

   For instance, when the source sends to Node A, Node B may listen
   promiscuously and get a second chance to receive the frame without an
   additional transmission.  Note that B would not have to listen if it
   already received that particular frame at an earlier timeslot in a
   dedicated transmission towards B.

   The PAREO model can be implemented in both centralized and
   distributed scheduling approaches.  In the centralized approach, a
   Path Computation Element (PCE) scheduler calculates a Track and
   schedules the communication.  In the distributed approach, the Track
   is computed within the network, and signaled in the packets, e.g.,
   using BIER-TE, Segment Routing, or a Source Routing Header.

4.4.1.  Packet Replication

   By employing a Packet Replication procedure, a Node forwards a copy
   of each data packet to more than one successor.  To do so, each Node
   (i.e., Ingress and intermediate Node) sends the data packet multiple
   times as separate unicast transmissions.  For instance, in Figure 7,
   the Ingress Node is transmitting the packet to both successors, nodes
   A and B, at two different times.

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                          ===> (A) => (C) => (E) ===
                        //        \\//   \\//       \\
                Ingress           //\\   //\\          Egress
                        \\       //  \\ //  \\      //
                          ===> (B) => (D) => (F) ===

                        Figure 7: Packet Replication

   An example schedule is shown in Table 2.  This way, the transmission
   leverages with the time and spatial forms of diversity.

       | Channel |  0   |  1   |  2   |  3   |  4   |  5   |  6   |
       | 0       | S->A | S->B | B->C | B->D | C->F | E->R | F->R |
       | 1       |      | A->C | A->D | C->E | D->E | D->F |      |

               Table 2: Packet Replication: Sample schedule

4.4.2.  Packet Elimination

   The replication operation increases the traffic load in the network,
   due to packet duplications.  This may occur at several stages inside
   the Track, and to avoid an explosion of the number of copies, a
   Packet Elimination procedure must be applied as well.  To this aim,
   once a Node receives the first copy of a data packet, it discards the
   subsequent copies.

   The logical functions of Replication and Elimination may be
   collocated in an intermediate Node, the Node first eliminating the
   redundant copies and then sending the packet exactly once to each of
   the selected successors.

4.4.3.  Promiscuous Overhearing

   Considering that the wireless medium is broadcast by nature, any
   neighbor of a transmitter may overhear a transmission.  By employing
   the Promiscuous Overhearing operation, the next hops have additional
   opportunities to capture the data packets.  In Figure 8, when Node A
   is transmitting to its DP (Node C), the AP (Node D) and its sibling
   (Node B) may decode this data packet as well.  As a result, by
   employing corellated paths, a Node may have multiple opportunities to
   receive a given data packet.

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                      ===> (A) ====> (C) ====> (E) ====
                    //     ^ | \\                      \\
             Ingress       | |   \\                      Egress
                    \\     | v     \\                  //
                      ===> (B) ====> (D) ====> (F) ====

                     Figure 8: Unicast with Overhearing

   Variations on the same idea such as link-layer anycast and multicast
   may also be used to reach more than one next-hop with a single frame.

4.4.4.  Constructive Interference

   Constructive Interference can be seen as the reverse of Promiscuous
   Overhearing, and refers to the case where two senders transmit the
   exact same signal in a fashion that the emitted symbols add up at the
   receiver and permit a reception that would not be possible with a
   single sender at the same PHY mode and the same power level.

   Constructive Interference was proposed on 5G, Wi-Fi7 and even tested
   on IEEE Std 802.14.5.  The hard piece is to synchronize the senders
   to the point that the signals are emitted at slightly different time
   to offset the difference of propagation delay that corresponds to the
   difference of distance of the transmitters to the receiver at the
   speed of light to the point that the symbols are superposed long
   enough to be recognizable.

5.  Security Considerations

   RAW uses all forms of diversity including radio technology and
   physical path to increase the reliability and availability in the
   face of unpredictable conditions.  While this is not done
   specifically to defeat an attacker, the amount of diversity used in
   RAW makes an attack harder to achieve.

5.1.  Forced Access

   RAW will typically select the cheapest collection of links that
   matches the requested SLA, for instance, leverage free WI-Fi vs. paid
   3GPP access.  By defeating the cheap connectivity (e.g., PHY-layer
   interference) the attacker can force an End System to use the paid
   access and increase the cost of the transmission for the user.

6.  IANA Considerations

   This document has no IANA actions.

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7.  Contributors

   The editor wishes to thank:

   Xavi Vilajosana:  Wireless Networks Research Lab, Universitat Oberta
      de Catalunya

   Remous-Aris Koutsiamanis:  IMT Atlantique

   Nicolas Montavont:  IMT Atlantique

   Rex Buddenberg:  Individual contributor

   Greg Mirsky:  ZTE

   for their contributions to the text and ideas exposed in this

8.  Acknowledgments


9.  References

9.1.  Normative References

              Thubert, P., Ed., "An Architecture for IPv6 over the Time-
              Slotted Channel Hopping Mode of IEEE 802.15.4 (6TiSCH)",
              RFC 9030, DOI 10.17487/RFC9030, May 2021,

              Braden, R., Ed., "Requirements for Internet Hosts -
              Communication Layers", STD 3, RFC 1122,
              DOI 10.17487/RFC1122, October 1989,

              Thubert, P., Cavalcanti, D., Vilajosana, X., Schmitt, C.,
              and J. Farkas, "Reliable and Available Wireless
              Technologies", Work in Progress, Internet-Draft, draft-
              ietf-raw-technologies-04, 3 August 2021,

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Internet-Draft         RAW Architecture/Framework           January 2022

              Papadopoulos, G. Z., Thubert, P., Theoleyre, F., and C. J.
              Bernardos, "RAW use cases", Work in Progress, Internet-
              Draft, draft-ietf-raw-use-cases-03, 20 October 2021,

   [RFC4655]  Farrel, A., Vasseur, J.-P., and J. Ash, "A Path
              Computation Element (PCE)-Based Architecture", RFC 4655,
              DOI 10.17487/RFC4655, August 2006,

   [RFC6291]  Andersson, L., van Helvoort, H., Bonica, R., Romascanu,
              D., and S. Mansfield, "Guidelines for the Use of the "OAM"
              Acronym in the IETF", BCP 161, RFC 6291,
              DOI 10.17487/RFC6291, June 2011,

   [RFC7799]  Morton, A., "Active and Passive Metrics and Methods (with
              Hybrid Types In-Between)", RFC 7799, DOI 10.17487/RFC7799,
              May 2016, <https://www.rfc-editor.org/info/rfc7799>.

   [RFC8578]  Grossman, E., Ed., "Deterministic Networking Use Cases",
              RFC 8578, DOI 10.17487/RFC8578, May 2019,

   [IPv6]     Deering, S. and R. Hinden, "Internet Protocol, Version 6
              (IPv6) Specification", STD 86, RFC 8200,
              DOI 10.17487/RFC8200, July 2017,

   [RFC8557]  Finn, N. and P. Thubert, "Deterministic Networking Problem
              Statement", RFC 8557, DOI 10.17487/RFC8557, May 2019,

   [RFC8655]  Finn, N., Thubert, P., Varga, B., and J. Farkas,
              "Deterministic Networking Architecture", RFC 8655,
              DOI 10.17487/RFC8655, October 2019,

   [RFC8939]  Varga, B., Ed., Farkas, J., Berger, L., Fedyk, D., and S.
              Bryant, "Deterministic Networking (DetNet) Data Plane:
              IP", RFC 8939, DOI 10.17487/RFC8939, November 2020,

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Internet-Draft         RAW Architecture/Framework           January 2022

   [RFC9049]  Dawkins, S., Ed., "Path Aware Networking: Obstacles to
              Deployment (A Bestiary of Roads Not Taken)", RFC 9049,
              DOI 10.17487/RFC9049, June 2021,

9.2.  Informative References

   [RFC0791]  Postel, J., "Internet Protocol", STD 5, RFC 791,
              DOI 10.17487/RFC0791, September 1981,

   [TE]       Awduche, D., Chiu, A., Elwalid, A., Widjaja, I., and X.
              Xiao, "Overview and Principles of Internet Traffic
              Engineering", RFC 3272, DOI 10.17487/RFC3272, May 2002,

   [STD 62]   Harrington, D., Presuhn, R., and B. Wijnen, "An
              Architecture for Describing Simple Network Management
              Protocol (SNMP) Management Frameworks", STD 62, RFC 3411,
              DOI 10.17487/RFC3411, December 2002,

   [RFC4090]  Pan, P., Ed., Swallow, G., Ed., and A. Atlas, Ed., "Fast
              Reroute Extensions to RSVP-TE for LSP Tunnels", RFC 4090,
              DOI 10.17487/RFC4090, May 2005,

   [FRR]      Shand, M. and S. Bryant, "IP Fast Reroute Framework",
              RFC 5714, DOI 10.17487/RFC5714, January 2010,

   [RLFA-FRR] Bryant, S., Filsfils, C., Previdi, S., Shand, M., and N.
              So, "Remote Loop-Free Alternate (LFA) Fast Reroute (FRR)",
              RFC 7490, DOI 10.17487/RFC7490, April 2015,

              Varga, B., Ed., Farkas, J., Berger, L., Malis, A., and S.
              Bryant, "Deterministic Networking (DetNet) Data Plane
              Framework", RFC 8938, DOI 10.17487/RFC8938, November 2020,

   [DLEP]     Ratliff, S., Jury, S., Satterwhite, D., Taylor, R., and B.
              Berry, "Dynamic Link Exchange Protocol (DLEP)", RFC 8175,
              DOI 10.17487/RFC8175, June 2017,

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Internet-Draft         RAW Architecture/Framework           January 2022

              Enghardt, T. and C. Kraehenbuehl, "A Vocabulary of Path
              Properties", Work in Progress, Internet-Draft, draft-irtf-
              panrg-path-properties-04, 25 October 2021,

              Thubert, P., "IPv6 Neighbor Discovery on Wireless
              Networks", Work in Progress, Internet-Draft, draft-
              thubert-6man-ipv6-over-wireless-11, 15 December 2021,

              Mirsky, G., Theoleyre, F., Papadopoulos, G. Z., Bernardos,
              C. J., Varga, B., and J. Farkas, "Framework of Operations,
              Administration and Maintenance (OAM) for Deterministic
              Networking (DetNet)", Work in Progress, Internet-Draft,
              draft-ietf-detnet-oam-framework-05, 14 October 2021,

   [NASA]     Adams, T., "RELIABILITY: Definition & Quantitative
              Illustration", <https://kscddms.ksc.nasa.gov/Reliability/

Authors' Addresses

   Pascal Thubert (editor)
   Cisco Systems, Inc
   Building D
   45 Allee des Ormes - BP1200
   06254 MOUGINS - Sophia Antipolis

   Phone: +33 497 23 26 34
   Email: pthubert@cisco.com

   Georgios Z. Papadopoulos
   IMT Atlantique
   Office B00 - 114A
   2 Rue de la Chataigneraie
   35510 Cesson-Sevigne - Rennes

   Phone: +33 299 12 70 04

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   Email: georgios.papadopoulos@imt-atlantique.fr

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