{"title":"A virtual machine repacking in clouds: faster live migration algorithms","authors":"Makhlouf Hadji, Paul Laborgère","doi":"10.1145/2627566.2627580","DOIUrl":null,"url":null,"abstract":"This paper focuses on optimal VM repacking algorithms inphysical infrastructures of Clouds to reduce overall cost andimprove utilization and nd the best tradeo s between theseconicting goals. We investigate algorithms that scale well,minimize SLA violations, converge reasonably fast and pro-vide the best possible tradeo s between the number of usedservers and migrations. These goals lead us to b-matchingalgorithms and a greedy algorithm resolution of a graphicmatroid representation [2] of the repacking problem. A tradi-tional Bin-Packing algorithm [1] is used for comparison andbenchmarks since it provides an upper bound on performance,but it does not scale with problem size.","PeriodicalId":91161,"journal":{"name":"Proceedings. Data Compression Conference","volume":"15 1","pages":"37-38"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2627566.2627580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper focuses on optimal VM repacking algorithms inphysical infrastructures of Clouds to reduce overall cost andimprove utilization and nd the best tradeo s between theseconicting goals. We investigate algorithms that scale well,minimize SLA violations, converge reasonably fast and pro-vide the best possible tradeo s between the number of usedservers and migrations. These goals lead us to b-matchingalgorithms and a greedy algorithm resolution of a graphicmatroid representation [2] of the repacking problem. A tradi-tional Bin-Packing algorithm [1] is used for comparison andbenchmarks since it provides an upper bound on performance,but it does not scale with problem size.