Channel Allocation-Based Demand Assignment Reservation Protocol for Computation Offloading in Mobile Edge Computing

Empilo Eynthon Guillaume Nelson, Songtao Guo
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Abstract

Considered as the key application of mobile edge computing (MEC), computation offloading emerges as a technology necessary to offload data for computation at an edge cloud. MEC is evolving as a promising technique susceptible to support resource constraint devices and delay sensitive applications, by delivering computing services nearby mobile users. Nevertheless, many studies have shown that latency remains one of the major challenges in MEC networks. However, in this paper, we propose to solve the latency challenge in mobile edge computing by developing the channel allocation-based demand assignment protocol for computation offloading (DAP-CO), and to tackle the server selection problem in a multi-edge server network so that to minimize the execution costs generated by mobile applications computation. The results of our simulations made in Matlab, showed that our proposed scheme can drastically decrease the energy consumption of intensive mobile application workload and speed up the execution of real time applications.
移动边缘计算中基于信道分配的需求分配保留协议
作为移动边缘计算(MEC)的关键应用,计算卸载作为在边缘云上进行计算的数据卸载所必需的技术而出现。MEC是一种很有前途的技术,通过向附近的移动用户提供计算服务,可以支持资源约束设备和延迟敏感应用。然而,许多研究表明,延迟仍然是MEC网络的主要挑战之一。然而,在本文中,我们提出通过开发基于信道分配的计算卸载需求分配协议(DAP-CO)来解决移动边缘计算中的延迟挑战,并解决多边缘服务器网络中的服务器选择问题,从而最大限度地减少移动应用计算产生的执行成本。在Matlab中进行的仿真结果表明,我们提出的方案可以大大降低密集移动应用工作负载的能耗,加快实时应用的执行速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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