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ITU-T work programme

[2022-2024] : [SG11] : [Q1/11]

[Declared patent(s)]  - [Associated work]

Work item: Q.SASO
Subject/title: Signalling architecture of service orchestration for computing power network
Status: Under study 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2024-05 (Medium priority)
Liaison: ITU-T SG13
Supporting members: China Unicom, China Telecom
Summary: With the development of computing power and network, more and more applications require not only high computing power, but also low delay, which makes computing and network closely integrated. The new model for the integration of computing power and network will flexibly schedule computing power resources according to business needs, and ultimately show the best user experience, network efficiency and computing resource utilization. Operators provide computing services for customers, and build infrastructure to deepen the integration of computing and network, which will become the key to enhance the value of network pipeline. In the past, the classic cloud traded centralized effect for computing sharing effect. Both Google and Amazon deployed super large computing centres. The operator network is inherently edge distributed, which can absorb a large amount of traffic. Based on ubiquitous distributed computing power, it has become an important information infrastructure close to users. When data is transmitted in the network, it often needs to pass through a variety of service nodes to meet user requires, so as to provide safe, fast and stable network services according to the desired requirements. Available services include FW(Firewalls), LB(load balancing), IPS(Intrusion Prevention System), etc. Generally, network traffic may need to pass through multiple services in specific order with business logic. when required services exist in multiple computing resource pools from different domains, service orchestration is highly needed to achieve multi domain co-orchestration. In addition, co-orchestration across different operators’ network can make rational use of all computing resources and improve the utilization when multi operators jointly build and share a network.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Jianfei Li, Editor
Ying Liu, Editor
Jing Tang, Editor
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First registration in the WP: 2022-08-24 11:20:36
Last update: 2024-02-09 14:43:00