Multi-user computation offloading as Multiple Knapsack Problem for 5G Mobile Edge Computing

István Ketykó, Laszlo Kecskes, Csaba Nemes, L. Farkas
{"title":"Multi-user computation offloading as Multiple Knapsack Problem for 5G Mobile Edge Computing","authors":"István Ketykó, Laszlo Kecskes, Csaba Nemes, L. Farkas","doi":"10.1109/EuCNC.2016.7561037","DOIUrl":null,"url":null,"abstract":"We present an overview of NP-hard problems and methods related to deployment, resource sharing, load balancing and fairness among multiple users in 5G mobile networks. We provide a general model of the system considering the E2E computational latency of Mobile Edge Computing (MEC) applications. An evaluation of a multi-user MEC offloading model reducible to the Multiple Knapsack Problem (MKP) is performed. We study the behaviour of an exact and a heuristic algorithm. We also show the performance results of these in a real-life small-cell deployment scenario.","PeriodicalId":416277,"journal":{"name":"2016 European Conference on Networks and Communications (EuCNC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 European Conference on Networks and Communications (EuCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuCNC.2016.7561037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46

Abstract

We present an overview of NP-hard problems and methods related to deployment, resource sharing, load balancing and fairness among multiple users in 5G mobile networks. We provide a general model of the system considering the E2E computational latency of Mobile Edge Computing (MEC) applications. An evaluation of a multi-user MEC offloading model reducible to the Multiple Knapsack Problem (MKP) is performed. We study the behaviour of an exact and a heuristic algorithm. We also show the performance results of these in a real-life small-cell deployment scenario.
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
5G移动边缘计算多用户计算卸载多背包问题
我们概述了5G移动网络中与部署、资源共享、多用户负载均衡和公平性相关的np难题和方法。我们提供了一个考虑移动边缘计算(MEC)应用程序的端到端计算延迟的系统通用模型。对可简化为多背包问题的多用户MEC卸载模型进行了评价。我们研究了精确算法和启发式算法的行为。我们还在实际的小型蜂窝部署场景中展示了这些方法的性能结果。
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
An end-to-end testing ecosystem for 5G On interconnecting and orchestrating components in disaggregated data centers: The dReDBox project vision Heterogeneous millimeter-wave/micro-wave architecture for 5G wireless access and backhauling Integration of Broadcast and Broadband in LTE/5G (IMB5) - experimental results from the eMBMS testbeds Enabling technologies and benefits of multi-tenant multi-service 5G Small Cells
×
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