{"title":"节能调度的Whittle指数方法","authors":"S. Aalto, P. Lassila","doi":"10.1109/ITC30.2018.00012","DOIUrl":null,"url":null,"abstract":"A data center can be modeled as a set of parallel queues, and the dispatcher decides to which queue the arriving jobs are routed. We consider an energy-aware dispatching system in a Markovian setting, where each server upon becoming empty enters a sleep mode to save energy and to activate the server after sleep incurs an additional setup delay cost. We seek to optimize the performance-energy trade-off by applying the so-called Whittle index approach. As our main result, we rigorously prove, under a certain technical assumption, that the problem is indexable, and derive the explicit form of the Whittle index. Our numerical examples demonstrate that the resulting energy-aware Whittle index policy is able to perform very close to the numerically obtained optimal policy.","PeriodicalId":159861,"journal":{"name":"2018 30th International Teletraffic Congress (ITC 30)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Whittle Index Approach to Energy-Aware Dispatching\",\"authors\":\"S. Aalto, P. Lassila\",\"doi\":\"10.1109/ITC30.2018.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A data center can be modeled as a set of parallel queues, and the dispatcher decides to which queue the arriving jobs are routed. We consider an energy-aware dispatching system in a Markovian setting, where each server upon becoming empty enters a sleep mode to save energy and to activate the server after sleep incurs an additional setup delay cost. We seek to optimize the performance-energy trade-off by applying the so-called Whittle index approach. As our main result, we rigorously prove, under a certain technical assumption, that the problem is indexable, and derive the explicit form of the Whittle index. Our numerical examples demonstrate that the resulting energy-aware Whittle index policy is able to perform very close to the numerically obtained optimal policy.\",\"PeriodicalId\":159861,\"journal\":{\"name\":\"2018 30th International Teletraffic Congress (ITC 30)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 30th International Teletraffic Congress (ITC 30)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITC30.2018.00012\",\"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 30th International Teletraffic Congress (ITC 30)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC30.2018.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Whittle Index Approach to Energy-Aware Dispatching
A data center can be modeled as a set of parallel queues, and the dispatcher decides to which queue the arriving jobs are routed. We consider an energy-aware dispatching system in a Markovian setting, where each server upon becoming empty enters a sleep mode to save energy and to activate the server after sleep incurs an additional setup delay cost. We seek to optimize the performance-energy trade-off by applying the so-called Whittle index approach. As our main result, we rigorously prove, under a certain technical assumption, that the problem is indexable, and derive the explicit form of the Whittle index. Our numerical examples demonstrate that the resulting energy-aware Whittle index policy is able to perform very close to the numerically obtained optimal policy.