{"title":"云中的虚拟机重新包装:更快的实时迁移算法","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":"{\"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}","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}
A virtual machine repacking in clouds: faster live migration algorithms
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.