{"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}
引用次数: 1
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.