Brief Review on Computing Resource Allocation Algorithms in Mobile Edge Computing

Ning Lyu
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引用次数: 4

Abstract

Over the past few years, the Internet has greatly developed. And due to the expansion of its application range, huge amount of data will be generated in our daily life. In order to be able to process large-scale data quickly, the concept of Mobile Edge Computing (MEC) was proposed. Mobile Edge Computing refers to dealing with data at the edge of the network. In this way, MEC can reduce response time, extend battery life and shorten bandwidth. This article focuses on the problems of computing resource allocation in MEC. This article summarizes the existing related research from the perspective of single node and multiple nodes, and analyzes the advantages and disadvantages of methods used in existing research to reduce time delay and energy consumption. Finally, it reviews how existing methods solve the problems of latency and energy consumption in practical scenarios.
移动边缘计算中计算资源分配算法综述
在过去的几年里,互联网有了很大的发展。并且由于其应用范围的扩大,在我们的日常生活中会产生大量的数据。为了快速处理大规模数据,提出了移动边缘计算(MEC)的概念。移动边缘计算是指在网络边缘处理数据。通过这种方式,MEC可以缩短响应时间,延长电池寿命并缩短带宽。本文主要研究MEC中计算资源分配问题。本文从单节点和多节点的角度对现有的相关研究进行了总结,并分析了现有研究中采用的减少时延和能耗的方法的优缺点。最后,回顾了现有方法在实际场景中如何解决延迟和能耗问题。
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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