{"title":"Scheduling Divisible Loads on Bus Networks with Arbitrary Processor Release Time and Start-Up Costs: XRMI","authors":"Jie Hu, R. Klefstad","doi":"10.1109/PCCC.2007.358914","DOIUrl":null,"url":null,"abstract":"We present a novel algorithm to schedule divisible loads using multi-round installment load distribution. This algorithm considers additional real-world factors, such as task initialization overhead and arbitrary processor release times. We analyze this algorithm's properties and demonstrate its behaviors through multiple illustrative examples. The analysis provides both a deeper understanding of the divisible load scheduling difficulties when considering more real-world factors and allows us to design more efficient algorithms. We show that this algorithm generate better solutions for practical applications.","PeriodicalId":356565,"journal":{"name":"2007 IEEE International Performance, Computing, and Communications Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Performance, Computing, and Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.2007.358914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
We present a novel algorithm to schedule divisible loads using multi-round installment load distribution. This algorithm considers additional real-world factors, such as task initialization overhead and arbitrary processor release times. We analyze this algorithm's properties and demonstrate its behaviors through multiple illustrative examples. The analysis provides both a deeper understanding of the divisible load scheduling difficulties when considering more real-world factors and allows us to design more efficient algorithms. We show that this algorithm generate better solutions for practical applications.