Computing-Aware Networking
charter-ietf-can-00-04

Computing-Aware Networking (can)

Many service architectures create multiple service instances. These
instances are often geographically distributed to multiple sites, and
a single site may support multiple instances of a service. The services
are provided on computing platforms and are generically
referred to as "compute services". The CAN (Computing-Aware Networking)
working group (WG) is chartered to consider the problem of how the
network edge can steer traffic between clients of a service and sites
offering the service.

Since, for some services (for example, VR/AR, intelligent
transportation), the performance experienced by clients will depend on
both network metrics such as bandwidth and latency, and compute metrics
such as processing, storage capabilities, and capacity, there is a
need for a solution that can optimize how a network edge node steers
traffic based on these metrics, as appropriate to the service.

Although the specific optimization function will likely differ between
services, implementations, and deployments, there is a need for a
general framework for the distribution of compute and network metrics
and transport of traffic from network edge to service instance. It also
is likely that some set of common metrics can be identified. The CAN WG
will concern itself with these issues.

The IETF is working on exposing network conditions to endpoints
(notably ALTO) and load balancing/service selection at layers 4 and 7
(for example, related to the selection of SIP servers). Specific
characteristics that may distinguish CAN from other work include the
desire to integrate both network and compute conditions in the
optimization function, and the desire to operate that function on nodes
within the service provider's network, logically separated from service
operation. Exposure of network and compute conditions to applications
is not in the scope of CAN. As part of its work, the CAN WG will seek
advice and expertise from the ART and TSV areas.

The assumed model for the CAN WG is an overlay network, where a network
edge node makes a decision based on the metrics of interest, and then
steers the traffic to a node that serves a service instance, for example
using a tunnel. The CAN WG will initially focus on single domain models.
Architectures that require the underlay network to be service-aware
are out of scope.

The CAN WG will analyze the problem in further detail and produce an
architecture for a solution. Ideally, that architecture will be one that
can be instantiated using existing technologies.

The CAN WG is chartered to work on the following items:

o Groundwork may be documented via a set of informational Internet-
Drafts, not necessarily for publication as RFCs:

• Problem statement for the need to consider both network and
  computing resource status.

• Use cases for steering traffic from applications that have critical
  SLAs that would benefit from the integrated consideration of network
  and computing resource status.

• Requirements for commonly agreed computing metrics and their
  distribution across the overlay network, as well as the appropriate
  frequency and scope of distribution.

o Overall CAN framework & architecture:

• This work encompasses the various building blocks and their
  interactions, realizing a CAN control and data plane that addresses
  the identified problems and requirements in the groundwork,
  including methods for distributing necessary information to utilize
  the identified metrics in CAN use cases. This will also cover OAM,
  scalability, and security aspects.

o Additional groundwork to include:

• Analyze the suitability and usefulness of computing and networking
  metrics for traffic steering decisions in CAN with a CAN metrics
  ontology as a possible outcome.

• Analyze methods for distributing the necessary information to
  utilize the identified metrics in CAN use cases.

o Applicability of existing tools and mechanisms:

• Analysis of implementing the CAN control and data plane using
  existing mechanisms, including identifying the limitations of
  existing tools in fulfilling requirements.

• Study potential new approaches for the CAN control and data plane
  solution that can fill the identified gaps in existing tools and
  solutions.

• Study FCAPS (fault, configuration, accounting, performance,
  security) requirements, mechanisms, and suitability of existing
  messaging protocols (NETCONF) and data models (YANG).

Milestones:

Jul 2023 Adopt the CAN Problem Statement, Use Cases, Gap Analysis, and
Requirements documents

Jul 2024 Adopt the CAN Framework and Architecture document

Nov 2025 Submit the CAN Framework and Architecture document to the IESG
for publication