{"title":"论顺序调度策略","authors":"Esa Hyytiä, Rhonda Righter","doi":"10.1109/ITNAC55475.2022.9998339","DOIUrl":null,"url":null,"abstract":"Job dispatching appears in many communication and computer systems. In this paper, we present a classification of dispatching policies according to their scalability, and introduce the class of sequential dispatching policies. These, highly scalable policies are a special case of index policies. By means of numerical examples, we show that efficient, practically optimal, dispatching may be achieved by a sequential policy, or a simple dynamic variant of such a policy, under heavy load. These numerical examples suggests that efficient and scalable load balancing can often be realized by simple primitive dispatching elements amenable also for machine learning based approaches.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On Sequential Dispatching Policies\",\"authors\":\"Esa Hyytiä, Rhonda Righter\",\"doi\":\"10.1109/ITNAC55475.2022.9998339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Job dispatching appears in many communication and computer systems. In this paper, we present a classification of dispatching policies according to their scalability, and introduce the class of sequential dispatching policies. These, highly scalable policies are a special case of index policies. By means of numerical examples, we show that efficient, practically optimal, dispatching may be achieved by a sequential policy, or a simple dynamic variant of such a policy, under heavy load. These numerical examples suggests that efficient and scalable load balancing can often be realized by simple primitive dispatching elements amenable also for machine learning based approaches.\",\"PeriodicalId\":205731,\"journal\":{\"name\":\"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNAC55475.2022.9998339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNAC55475.2022.9998339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

作业调度出现在许多通信和计算机系统中。本文根据调度策略的可扩展性对调度策略进行了分类,并引入了顺序调度策略的分类。这些高度可伸缩的策略是索引策略的一种特殊情况。通过数值实例,我们证明了在高负荷下,有效的、实际上最优的调度可以通过顺序策略或这种策略的简单动态变体来实现。这些数值例子表明,高效和可扩展的负载平衡通常可以通过简单的原始调度元素来实现,也适用于基于机器学习的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
On Sequential Dispatching Policies
Job dispatching appears in many communication and computer systems. In this paper, we present a classification of dispatching policies according to their scalability, and introduce the class of sequential dispatching policies. These, highly scalable policies are a special case of index policies. By means of numerical examples, we show that efficient, practically optimal, dispatching may be achieved by a sequential policy, or a simple dynamic variant of such a policy, under heavy load. These numerical examples suggests that efficient and scalable load balancing can often be realized by simple primitive dispatching elements amenable also for machine learning based approaches.
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
期刊最新文献
Channel Sounding Measurements for 5G Campus Networks in Industrial Environments Implementation and Experimental Evaluation of the Rebalancing Algorithm for Folded Clos Networks Architectural Implementation of AES based 5G Security Protocol on FPGA Attribute Verifier for Internet of Things Artificial Neural Network (ANN)-Aided Signal Demodulation in a SiPM-Based VLC System
×
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