{"title":"分布式数据中心的流量感知集群和虚拟机迁移","authors":"Marco Cello, Kang Xi, H. J. Chao, M. Marchese","doi":"10.1145/2627566.2627582","DOIUrl":null,"url":null,"abstract":"In this paper we propose an algorithmic approach designed to tackle and reduce the congestion events in a Distributed Data Center (DDC). Our solution is based on virtual machines (VMs) migration and, differently from the literature, it analyzes the VMs communication patterns in order to find 'tight' clusters of VMs to be migrated.","PeriodicalId":91161,"journal":{"name":"Proceedings. Data Compression Conference","volume":"223 1","pages":"41-42"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Traffic-aware clustering and VM migration in distributed data center\",\"authors\":\"Marco Cello, Kang Xi, H. J. Chao, M. Marchese\",\"doi\":\"10.1145/2627566.2627582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose an algorithmic approach designed to tackle and reduce the congestion events in a Distributed Data Center (DDC). Our solution is based on virtual machines (VMs) migration and, differently from the literature, it analyzes the VMs communication patterns in order to find 'tight' clusters of VMs to be migrated.\",\"PeriodicalId\":91161,\"journal\":{\"name\":\"Proceedings. Data Compression Conference\",\"volume\":\"223 1\",\"pages\":\"41-42\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2627566.2627582\",\"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/10.1145/2627566.2627582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traffic-aware clustering and VM migration in distributed data center
In this paper we propose an algorithmic approach designed to tackle and reduce the congestion events in a Distributed Data Center (DDC). Our solution is based on virtual machines (VMs) migration and, differently from the literature, it analyzes the VMs communication patterns in order to find 'tight' clusters of VMs to be migrated.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
