{"title":"A dynamic resource allocation method in IaaS based on deadline time","authors":"Lu Guan, Y. Wang, Yanfei Li","doi":"10.1109/APNOMS.2012.6356077","DOIUrl":null,"url":null,"abstract":"Reducing the number of active nodes is an natural and effective method in energy saving for large scale cloud datacenters. However, the traditional way of consolidating VMs by migration may lead to the impacts on performance as well as costs on power consumption and migration. In this paper, we propose an algorithm named DRAMDT to deploy VMs to servers without the use of migration, which groups VM instances by their deadline runtimes and pack VMs within the same group on the same servers. It is demonstrated in the experiments that DRAMDT is able to shut down more servers in time to save energy when user amount reduces. And the proposed algorithm has small searching space, low complexity and good scalability.","PeriodicalId":385920,"journal":{"name":"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 14th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2012.6356077","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
Reducing the number of active nodes is an natural and effective method in energy saving for large scale cloud datacenters. However, the traditional way of consolidating VMs by migration may lead to the impacts on performance as well as costs on power consumption and migration. In this paper, we propose an algorithm named DRAMDT to deploy VMs to servers without the use of migration, which groups VM instances by their deadline runtimes and pack VMs within the same group on the same servers. It is demonstrated in the experiments that DRAMDT is able to shut down more servers in time to save energy when user amount reduces. And the proposed algorithm has small searching space, low complexity and good scalability.
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