雾计算系统卸载方案的性能分析

E. Sopin, A. Daraseliya, L. Correia
{"title":"雾计算系统卸载方案的性能分析","authors":"E. Sopin, A. Daraseliya, L. Correia","doi":"10.1109/ICUMT.2018.8631245","DOIUrl":null,"url":null,"abstract":"Fog computing is a good solution for response time-critical applications, which need a lot of processing time. Fog allows mobile devices to offload some tasks and, consequently, to increase battery life-time. By the way, unlike classical cloud solutions, fog computing provides very low latency thanks to its distributed computing infrastructure. In the paper, we assume that tasks are not uniform and they significantly differ in amount of required work. We propose the offloading criterion based on amount of required work for a task, so that “heavy” tasks are offloaded to the fog and “light” tasks are processed locally on mobile devices. The proposed offloading scheme is analyzed in terms of queuing systems, formulas for the main performance measures are obtained.","PeriodicalId":211042,"journal":{"name":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Performance Analysis of the Offloading Scheme in a Fog Computing System\",\"authors\":\"E. Sopin, A. Daraseliya, L. Correia\",\"doi\":\"10.1109/ICUMT.2018.8631245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fog computing is a good solution for response time-critical applications, which need a lot of processing time. Fog allows mobile devices to offload some tasks and, consequently, to increase battery life-time. By the way, unlike classical cloud solutions, fog computing provides very low latency thanks to its distributed computing infrastructure. In the paper, we assume that tasks are not uniform and they significantly differ in amount of required work. We propose the offloading criterion based on amount of required work for a task, so that “heavy” tasks are offloaded to the fog and “light” tasks are processed locally on mobile devices. The proposed offloading scheme is analyzed in terms of queuing systems, formulas for the main performance measures are obtained.\",\"PeriodicalId\":211042,\"journal\":{\"name\":\"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUMT.2018.8631245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUMT.2018.8631245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

对于需要大量处理时间的响应时间关键型应用程序,雾计算是一个很好的解决方案。Fog允许移动设备卸载一些任务,从而延长电池寿命。顺便说一下,与传统的云解决方案不同,雾计算提供了非常低的延迟,这要归功于它的分布式计算基础设施。在本文中,我们假设任务不是统一的,它们在所需的工作量上有很大的不同。我们提出了基于任务所需工作量的卸载标准,以便“重”任务卸载到雾中,“轻”任务在移动设备上本地处理。从排队系统的角度对所提出的卸载方案进行了分析,得到了主要性能指标的计算公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of the Offloading Scheme in a Fog Computing System
Fog computing is a good solution for response time-critical applications, which need a lot of processing time. Fog allows mobile devices to offload some tasks and, consequently, to increase battery life-time. By the way, unlike classical cloud solutions, fog computing provides very low latency thanks to its distributed computing infrastructure. In the paper, we assume that tasks are not uniform and they significantly differ in amount of required work. We propose the offloading criterion based on amount of required work for a task, so that “heavy” tasks are offloaded to the fog and “light” tasks are processed locally on mobile devices. The proposed offloading scheme is analyzed in terms of queuing systems, formulas for the main performance measures are obtained.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信