A computing-aware routing protocol for Computing Force Network

Huijuan Yao, Xiaodong Duan, Yuexia Fu
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引用次数: 2

Abstract

Facing the development trend of computing and network deep convergence, this paper proposes a computing-aware routing protocol(CARP), which introduces computing information as a cost into the network. CARP provides the capability to jointly schedule service requests to optimal service endpoints along network path, and guarantee the quality of service (QoS) for end users. Moreover, in order to make the network aware of the computing resource information, we develop the computing resource discovery and advertisement scheme, which achieves a better trade-off between network resource consumed by routing path and signaling load for computing resource information updates. Finally, The test results show that under the ideal network load, the system capacity of the proposed system can be increased by 33.17% compared with the existing MEC system, and the end-to-end average latency can be increased by 35.29%. Therefore, the performance analyses show that our proposed scheme can substantially achieve the joint optimization of computing and networking resources through a tighter integration of computing and networking.
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面向计算力网络的计算感知路由协议
面对计算和网络深度融合的发展趋势,本文提出了一种计算感知路由协议(CARP),该协议将计算信息作为代价引入网络。CARP提供了将业务请求沿网络路径联合调度到最优业务端点的能力,保证了最终用户的服务质量(QoS)。此外,为了使网络能够感知计算资源信息,我们开发了计算资源发现和发布方案,该方案在路由路径消耗的网络资源和用于计算资源信息更新的信令负载之间实现了更好的权衡。最后,测试结果表明,在理想的网络负载下,与现有MEC系统相比,本文提出的系统容量可提高33.17%,端到端平均时延可提高35.29%。因此,性能分析表明,我们提出的方案可以通过更紧密的计算和网络集成,实质上实现计算和网络资源的联合优化。
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