Empowering Computing and Networks Convergence System with Distributed Cooperative Routing
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911770838302720 |
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| author | Hu, Yujiao Jia, Qingmin Shen, Meng Xie, Renchao Huang, Tao Yu, F. Richard |
| author_facet | Hu, Yujiao Jia, Qingmin Shen, Meng Xie, Renchao Huang, Tao Yu, F. Richard |
| contents | The emergence of intelligent applications and recent advances in the fields of computing and networks are driving the development of computing and networks convergence (CNC) system. However, existing researches failed to achieve comprehensive scheduling optimization of computing and network resources. This shortfall results in some requirements of computing requests unable to be guaranteed in an end-to-end service pattern, negatively impacting the development of CNC systems. In this article, we propose a distributed cooperative routing framework for the CNC system to ensure the deadline requirements and minimize the computation cost of requests. The framework includes trading plane, management plane, control plane and forwarding plane. The cross-plane cooperative end-to-end routing schemes consider both computation efficiency of heterogeneous servers and the network congestion degrees while making routing plan, thereby determining where to execute requests and corresponding routing paths. Simulations results substantiates the performance of our routing schemes in scheduling computing requests in the CNC system. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_02381 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Empowering Computing and Networks Convergence System with Distributed Cooperative Routing Hu, Yujiao Jia, Qingmin Shen, Meng Xie, Renchao Huang, Tao Yu, F. Richard Networking and Internet Architecture Artificial Intelligence The emergence of intelligent applications and recent advances in the fields of computing and networks are driving the development of computing and networks convergence (CNC) system. However, existing researches failed to achieve comprehensive scheduling optimization of computing and network resources. This shortfall results in some requirements of computing requests unable to be guaranteed in an end-to-end service pattern, negatively impacting the development of CNC systems. In this article, we propose a distributed cooperative routing framework for the CNC system to ensure the deadline requirements and minimize the computation cost of requests. The framework includes trading plane, management plane, control plane and forwarding plane. The cross-plane cooperative end-to-end routing schemes consider both computation efficiency of heterogeneous servers and the network congestion degrees while making routing plan, thereby determining where to execute requests and corresponding routing paths. Simulations results substantiates the performance of our routing schemes in scheduling computing requests in the CNC system. |
| title | Empowering Computing and Networks Convergence System with Distributed Cooperative Routing |
| topic | Networking and Internet Architecture Artificial Intelligence |
| url | https://arxiv.org/abs/2402.02381 |