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A MECS redistribution algorithm for SDN-enable MEC using response time and transmission overhead
Wireless Networks ( IF 2.1 ) Pub Date : 2021-01-04 , DOI: 10.1007/s11276-020-02518-6
Runze Wu , Xiang Ao , Bing Fan , Hailin Hu

The software-defined networks-enable mobile edge computing (SDN-enable MEC) architecture, which integrates SDN and MEC technologies, realizes the flexibility and dynamic management of the underlying network resources by the MEC, reduces the distance between the access terminal and computing resources and network resources, and increases the terminal's access to resources. However, the static distribution relationship between MEC servers (MECSs) and controllers in the multi-controller architecture may result in unbalanced load distribution among the controllers, which would degrade network performance. In this paper, a multi-objective optimization MECS redistribution algorithm (MOSRA) is proposed to decrease the response time and overhead. A controller response time model and link transmit overhead model are introduced as basis of an evolutionary algorithm which is proposed to optimize MECS redistribution. The proposed algorithm aims to select an available sub-optimizes individual by using a strategy based coordination transformation from Pareto Front. That is, when the master controller of the MECS is redistributed, both of the network overhead of the MECS to the controller and the response time of the controller to the MECS processing request are optimized. Finally, the simulation results demonstrate that the MOSRA can solve the redistribution problem in different network load levels and different network sizes within the effective time, and has a lower control plane response time, while making the edge network plane transmission overhead lower, compared with other algorithms .



中文翻译:

使用响应时间和传输开销的,支持SDN的MEC的MECS重新分配算法

软件定义的支持网络的移动边缘计算(SDN-enable MEC)架构,集成了SDN和MEC技术,通过MEC实现了底层网络资源的灵活性和动态管理,缩短了接入终端与计算资源之间的距离和网络资源,并增加了终端对资源的访问。但是,在多控制器体系结构中,MEC服务器(MECS)与控制器之间的静态分配关系可能导致控制器之间的负载分配不平衡,从而降低网络性能。本文提出了一种多目标优化的MECS再分配算法(MOSRA),以减少响应时间和开销。介绍了控制器响应时间模型和链路传输开销模型,以此作为优化MECS重新分配的进化算法的基础。所提出的算法旨在通过使用基于策略的Pareto Front协调变换来选择可用的次优化个体。也就是说,当重新分配MECS的主控制器时,既优化了MECS到控制器的网络开销,又优化了控制器对MECS处理请求的响应时间。最后,仿真结果表明,与其他方法相比,MOSRA可以在有效时间内解决不同网络负载水平和不同网络规模下的重分配问题,控制面响应时间更短,同时降低了边缘网络面的传输开销。算法。

更新日期:2021-01-05
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