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

Empilo Eynthon Guillaume Nelson, Songtao Guo
{"title":"Channel Allocation-Based Demand Assignment Reservation Protocol for Computation Offloading in Mobile Edge Computing","authors":"Empilo Eynthon Guillaume Nelson, Songtao Guo","doi":"10.1109/ICACI52617.2021.9435866","DOIUrl":null,"url":null,"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.","PeriodicalId":382483,"journal":{"name":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI52617.2021.9435866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visual saliency detection based on visual center shift MMTrans-MT: A Framework for Multimodal Emotion Recognition Using Multitask Learning K-means Clustering Based on Improved Quantum Particle Swarm Optimization Algorithm Performance of different Electric vehicle Battery packs at low temperature and Analysis of Intelligent SOC experiment Service Quality Loss-aware Privacy Protection Mechanism in Edge-Cloud IoTs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1