基于EON边缘计算的联合作业调度和路由联合优化

Yanan Li, Jiawei Zhang, Zhen Liu, Yuefeng Ji
{"title":"基于EON边缘计算的联合作业调度和路由联合优化","authors":"Yanan Li, Jiawei Zhang, Zhen Liu, Yuefeng Ji","doi":"10.1109/ACP.2018.8596108","DOIUrl":null,"url":null,"abstract":"We propose a joint scheduling and routing scheme with combined jobs to maximize throughput under deadline constraint in the edge computing based EON. The results show it achieves increase on network throughput and utilization.","PeriodicalId":431579,"journal":{"name":"2018 Asia Communications and Photonics Conference (ACP)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Joint Optimization for Combined Jobs Scheduling and Routing in the Edge Computing based EON\",\"authors\":\"Yanan Li, Jiawei Zhang, Zhen Liu, Yuefeng Ji\",\"doi\":\"10.1109/ACP.2018.8596108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a joint scheduling and routing scheme with combined jobs to maximize throughput under deadline constraint in the edge computing based EON. The results show it achieves increase on network throughput and utilization.\",\"PeriodicalId\":431579,\"journal\":{\"name\":\"2018 Asia Communications and Photonics Conference (ACP)\",\"volume\":\"190 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Asia Communications and Photonics Conference (ACP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACP.2018.8596108\",\"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 Asia Communications and Photonics Conference (ACP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACP.2018.8596108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

提出了一种结合作业的联合调度和路由方案,以最大限度地提高基于边缘计算的EON在截止日期约束下的吞吐量。结果表明,该方法提高了网络吞吐量和利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Optimization for Combined Jobs Scheduling and Routing in the Edge Computing based EON
We propose a joint scheduling and routing scheme with combined jobs to maximize throughput under deadline constraint in the edge computing based EON. The results show it achieves increase on network throughput and utilization.
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