Convergence of telco cloud and bearer network based computing power network orchestration

Chang CAO; Shuai ZHANG; Ying LIU; Xiongyan TANG

doi:10.11959/j.issn.1000-0801.2020197

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Convergence of telco cloud and bearer network based computing power network orchestration

Topic:Novel Network | 更新时间：2024-06-05

- Convergence of telco cloud and bearer network based computing power network orchestration
- Telecommunications Science Vol. 36, Issue 7, Pages: 55-62(2020)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2020197
  CLC： TP393
- Published Online：2020-07，
  
  Published：20 July 2020
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Chang CAO, Shuai ZHANG, Ying LIU, et al. Convergence of telco cloud and bearer network based computing power network orchestration[J]. Telecommunications science, 2020, 36(7): 55-62.
DOI：

Chang CAO, Shuai ZHANG, Ying LIU, et al. Convergence of telco cloud and bearer network based computing power network orchestration[J]. Telecommunications science, 2020, 36(7): 55-62. DOI： 10.11959/j.issn.1000-0801.2020197.

摘要

面向未来网络中计算与网络紧密结合、“算网一体”的技术发展趋势，提出了基于集中式和分布式两种控制方案的算力网络编排模型，并分别介绍了实现过程的关键技术。从方案与技术分析来看，基于电信运营商通信云和承载网协同的算力网络编排方案可以较好地适应未来移动边缘计算（MEC）站点成网后边边协同与云边协同的业务需求，增强了网络对业务的感知与调度能力，而集中式或分布式控制方案的具体选择与运营商通信云能力和承载网的演进阶段密切相关。

Abstract

Facing the combination of computing and network connection in the future network

and the development trend of computing and network integration

a computing power network orchestration model based on centralized and distributed control schemes was proposed.From the perspective of solution analysis

the computing power network orchestration scheme based on the convergence of telco cloud and bearer network can meet the future business needs of mobile edge computing (MEC) site better.With scheduling capabilities coordinated for both computing and networking

the network’s perception of services can be optimized.The specific choice of centralized or distributed control scheme is closely related to the operator’s telco cloud capabilities and the evolution stage of the bearer network.

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references

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