Differential Computing Resource Reservation
draft-liu-coin-differential-reservation-01
Computing in Network Research Group P. Liu
Internet-Draft H. Yao
Intended status: Informational L. Geng
Expires: May 5, 2021 China Mobile
November 1, 2020
Differential Computing Resource Reservation
draft-liu-coin-differential-reservation-01
Abstract
Computing in the network may require the embedded computing
capability in the network device, such as gateway, switch, etc, and
there might be so much distributed computing task in the network.
Some new applications like AR/VR, motion control put forward higher
demand of network than before, and AI is also considered to be used
in the app and network. In order to satisfy the demands, it needs to
guarantee both the bandwidth resource and the computing resource
which is linked by the network.
Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119].
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
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This Internet-Draft will expire on May 5, 2021.
Liu, et al. Expires May 5, 2021 [Page 1]
Internet-Draft Computing in network November 2020
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Table of Contents
1. Overview . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Serial Distributed Computing Model . . . . . . . . . . . . . 3
3. Problems of Existing Protocol . . . . . . . . . . . . . . . . 4
4. Reference Method . . . . . . . . . . . . . . . . . . . . . . 5
4.1. Distributed Resource Reservation . . . . . . . . . . . . 5
4.2. Centralized Resource Reservation . . . . . . . . . . . . 6
4.2.1. PCEP . . . . . . . . . . . . . . . . . . . . . . . . 7
4.2.2. Netconf/Yang . . . . . . . . . . . . . . . . . . . . 7
5. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . 8
6. Security Considerations . . . . . . . . . . . . . . . . . . . 8
7. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 8
8. Normative References . . . . . . . . . . . . . . . . . . . . 8
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 9
1. Overview
From cloud computing to edge computing, computing power is
distributed and extends to customers. In the future network and
computing integration system, computing power will be distributed in
all nodes as ubiquitous endogenous resources. The user's request can
be satisfied by calling the nearest node resource, which is no longer
limited to a specific node.
The basic topology abstraction of traditional Internet architecture
is the end-to-end model: the network is in the middle, the computing
is in the periphery, and the host realizes the logical virtual full
connection through the network. In the trend of network and
computing convergence, computing resource may be embedded in the
network. From the perspective of completing users' computing tasks,
embedded resources are no longer peer-to-peer relationship, but need
to consider the different distances and network conditions.
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There are two kinds of ideas of the convergence, One is from the
perspective of the network, to realize the perception of computing
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