Internet DRAFT - draft-sun-alto-arch-computing-optical-network
draft-sun-alto-arch-computing-optical-network
alto Working Group ZJ. Sun, H.Yang, C.Li
Internet-Draft Beijing University of Posts and Telecommunications
Intended status: Standards Track S.Liu
Expires: 11 January 2023 China Mobile Research Istitute
H. Zheng
Huawei Technologies
25 July 2023
Architecture of Computing Power Optical Network
draft-sun-alto-arch-computing-optical-network-03
Abstract
This document describes the architecture of computing power optical
network.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
1.1. Requirements Language . . . . . . . . . . . . . . . . . . 3
2. Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.1. Network Resource Acquirement . . . . . . . . . . . . . . . 3
3. The architecture of Computing Power Optical Network . . . . . . 4
3.1. Cloud management platform . . . . . . . . . . . . . . . . 4
3.2. Edge management platform . . . . . . . . . . . . . . . . . 4
4. Manageability Considerations . . . . . . . . . . . . . . . . 4
5. Security Considerations . . . . . . . . . . . . . . . . . . . 4
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 4
7. References . . . . . . . . . . . . . . . . . . . . . . . . . 5
7.1. Normative References . . . . . . . . . . . . . . . . . . 5
7.2. Informative References . . . . . . . . . . . . . . . . . 5
Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . 5
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 5
1. Introduction
With the rapid popularization and application of cloud computing,
artificial intelligence and other technologies, the total amount of
data has increased explosively, and the demand for data storage,
computing and transmission has increased significantly. This puts
forward higher requirements for flexible network scheduling and
quality of service. More importantly, the upgrading of industrial
intelligence will bring about the diversity of devices, such as
the application of Internet of things (IOT) sensors, cameras and
other devices will produce diverse data. The processing of these
heterogeneous data needs ubiquitous computing power to support.
The computing power network is the link that efficiently connects
ubiquitous computing power resources and massive user data. With
the advantages of ultra-large capacity, ultra-long distance, low
latency, and flexible scheduling, optical networks provide a wide
coverage, flexible and efficient super-capacity guarantee for
computing resources.
The architecture of Computing Power Optical Network supports
network-aware applications, networks, computing power and user
needs, coordinates the scheduling of computing power resources
and network resources, and provides the best user experience. This
architecture combines the computing power network with the optical
network to realize the collaborative linkage between edge computing
and cloud computing.
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1.1. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in BCP
14 [RFC2119] [RFC8174] when, and only when, they appear in all
capitals, as shown here.
2. Scenarios
With the prevalence of cloud services, enterprise services and other
services, the architecture of computing power optical network has
become the choice to solve supported services. The following scenarios
provide some typical applications.
2.1. Network Resource Acquirement
The edge network management layer receives information from the client,
obtains complete user information, and provides it to the cloud management
platform for network resource synchronization. The cloud management platform
obtains regular information about applications and networks.
3. The architecture of Computing Power Optical Network
---------------------------------------------------------------------------------------------------------------------------
| ------------------------------------------------------------------------------ |
| | ----------------------------------------------------------- | ---------- |
| | | --------- ------------- | | | | |
| | | | CP API | | Resource ID | | | | | |
| | | Computing --------- ------------- | | report network | | |
| | | resources -------- ----- ----- ----- | | information | Cloud | |
| Cloud | Computing | |storage | | NPU | | CPU | | GPU | | | ----------------| | |
|management | power | -------- ----- ----- ----- | | | network | |
| platform |orchestration ----------------------------------------------------------- | ----------------| | |
| | layer ------------------------------------------------------------- | Distribute |management| |
| | | ----------------------- ------------------- || computing | | |
| | |Computing |CP service notification| |CP state perception| || power | | |
| | | power ----------------------- ------------------- || scheduling | | |
| | |scheduling --------------------- ----------------------- || information | | |
| | | |CP routing generation| |CP rerouting monitoring||| | | |
| | | --------------------- ----------------------- || -/--/----- |
| | ------------------------------------------------------------- | / / |
| ------------------------------------------------------------------------------ / / |
-----------------------------------------------------------------------------------------------------------/--/------------
Delivering network / / Reporting edge
orchestration / / network
informarion / / information
--------------------------------------------------------------------------------------------------------/--/--
| -------------------------------------------------------- / / |
| | -------------------------------------- | ---------- |
| | | --------- ----- ----- | | | | |
| | | | CP API | | GPU | | CPU | | | | | |
| | | Computing --------- ----- ----- | | Report network | | |
| | Edge | resources -------- ---------- | | information and | | |
| Edge | Computing | | storage| | NPU | | | computing power | Edge | |
| | Power | -------- ---------- | |arrangement information | | |
|Management |Orchestration -------------------------------------- |-------------------------| Network | |
| | ------------------------------------------- |-------------------------| | |
| Platform | | ------------- ----------- | | Issue the final strategy| Management| |
| | | Computing |CP routing ID| |CP routing | | | of computing power | | |
| | | power ------------- ----------- | | orchestration | | |
| | |routing and ------------------------ | | | | |
| | | forwarding |CP Routing Advertisement| | | | | |
| | | ------------------------ | | | | |
| | ------------------------------------------- | . ----------- |
| -------------------------------------------------------- . . . . |
--------------------------------------------------------------.----.----.--.--.-------------------------------
. . . . .
. . . . .
. . . . .
-------------------------------------.------.--------.------.--------.----------------
| . . . . . |
| network Router.— — — — —.— — Router . |
| layer /. .\ . / . \ . |
| resources / .. \ . / . \ . |
| / .. \ . / . \ . |
| Router . \ . / . Router |
| . . \ . / . . |
| . . Router . . |
----------------------------.------.------------.---------.-----------.---------------
---------------------------.------.------------.----------.-----------.---------------
| . . . . . |
| Optical . -- OE-- . . . |
| layer . -- -- . --OE-- . |
|resources OE-- -- . -- -- -- . |
| -- -- -- -- -- OE-- -- . |
| -- -- -- -- -- -- -- -- OE |
--------------------------------------------------------------------------------------
Fig.1 The architecture of computing power optical network.
3.1. Cloud management platform
In order to realize the perception of ubiquitous computing and services,
cloud management platform includes computing power scheduling and network
management. Computing power scheduling can be divided into computing power
resources and computing power scheduling. Computing resources are the use
of existing computing infrastructure to provide computing resources. The
computing infrastructure is mainly composed of edge computing nodes and
network devices, which are controlled by the computing network control
layer through the north interface, and provide computing, storage and
network facility resources for the serverless edge computing network
reference architecture. The computing infrastructure includes a
combination of various computing capabilities such as single core
central processing unit (CPU), graphics processor (GPU), network processor
(NPU). In order to meet the diverse computing needs of the edge computing
field, this layer can provide functions such as algorithm library,
computing application programming interface (API), computing network
resource identification, etc.
The computing power scheduling layer is the core of the computing power aware
network, which consists of computing power service notification, computing power
state awareness, computing power route generation and computing power route
monitoring. Based on the abstracted computing network resources, and considering
the network status and computing resource status comprehensively, the computing
power routes that can flexibly schedule services to different computing resource
nodes on demand are generated, and the real-time monitoring of computing power
routes is carried out. Computing power nodes, including terminals, edges and
cloud data centers, need to collect and distribute information about their
computing power resource status, such as CPU processing capacity, queue status,
cache status, computing power node address, etc. through the control surface
network mechanism, that is, create a global computing power routing table at
the forwarding node of the whole network computing power network, in case of
application requests for optimal routing scheduling in the whole network computing
resource pool. The cloud network management layer reports the current information
of the network to the computing force arrangement layer and accepts the computing
force arrangement information issued by the computing force arrangement layer.
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3.2. Edge management platform
Edge management platform includes edge computing force arrangement and
edge network management. Edge computing scheduling can be divided into
computing resources and computing routing forwarding. Computing resources
include computing application programming interface (API), central processing
unit (CPU), graphics processor (GPU), network processor (NPU), and storage
composition. They are controlled by the computing network control layer through
the north interface, providing computing, storage and other resources for the
server free edge computing network reference architecture.
The computing power route forwarding layer is composed of computing power route
identification, computing power route addressing, computing power route notification .
Through the distributed edge computing nodes, through the automatic deployment of
services, optimal routing and cross layer optimization, the edge computing power aware
network is built, which can truly call different computing resources on demand and in real
time, improve the utilization efficiency of computing resources, and finally realize the
optimization of user experience Optimization of computing resource utilization and
network efficiency.
The management layer of the edge network reports the network information and the
arrangement information of the edge computing power to the arrangement layer of
the edge computing power, and accepts the final strategy of the arrangement of
the distributed computing power to be implemented. And the edge network management
layer reports the edge network status information to the cloud network management
layer, and accepts the distributed network resource arrangement information.
When the edge management platform receives an application request from a user,
it will forward the request to the cloud management platform after verifying the user.
The cloud network management layer reports the network information to the computing
power scheduling layer, which receives the network information, informs the computing
power service and perceives the computing power status through the computing power
scheduling layer, so as to generate the computing power route and monitor the route
in real time. The cloud management platform sends the generated computing power
arrangement information to cloud network management. Cloud network management will
distribute the received computing power arrangement information to edge network management.
Edge network management reports network information and computing power scheduling
information. Edge computing power scheduling performs computing power routing forwarding
operations, and issues the final computing power scheduling strategy through computing
power routing addressing, computing power routing notification.
Computing resources protect CPU, GPU and other resources to meet the different requirements of
general computing and proprietary computing. These computing resources have greater advantages
in parallel computing efficiency and low latency computing performance. Heterogeneous computing s
olutions are deployed based on business requirements to meet the performance requirements of computing
, I/O, and network intensive applications.
4. Manageability Considerations
TBD
5. Security Considerations
TBD
6. IANA Considerations
This document requires no IANA actions.
7. References
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[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, <https://www.rfc-editor.org/info/rfc8174>.
Acknowledgments
TBD
Authors' Addresses
Zhengjie Sun
Beijing University of Posts and Telecommunications
Email: sunzhengjie@bupt.edu.cn
Hui Yang
Beijing University of Posts and Telecommunications
Email: yanghui@bupt.edu.cn
Chao Li
Beijing University of Posts and Telecommunications
Email: lc96@bupt.edu.cn
Sheng Liu
China Mobile
Email: liushengwl@chinamobile.com
Haomian Zheng
Huawei Technologies Co
Email: zhenghaomian@huawei.com
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