{"title":"Approximation for preemptive scheduling stochastic jobs on identical parallel machines","authors":"Xiaoyong Tang, Kenli Li, Fan Wu","doi":"10.1109/BICTA.2010.5645076","DOIUrl":null,"url":null,"abstract":"In this paper, the stochastic scheduling problem of minimizing the total weighted completion time on preemptive identical parallel machines is investigated. Each job has a processing time, which is a random variable and just given their distribution function. First, we extend the stochastic single-machine preemptive WSEPT rule to a multi-machine list scheduling policy, which we call P-WSEPT. T hen, we use LP based policy to analysis the performance guarantee of preemptive stochastic scheduling with release dates.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2010.5645076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, the stochastic scheduling problem of minimizing the total weighted completion time on preemptive identical parallel machines is investigated. Each job has a processing time, which is a random variable and just given their distribution function. First, we extend the stochastic single-machine preemptive WSEPT rule to a multi-machine list scheduling policy, which we call P-WSEPT. T hen, we use LP based policy to analysis the performance guarantee of preemptive stochastic scheduling with release dates.