{"title":"Optimal allocation of virtual resources using genetic algorithm in cloud environments","authors":"K. D. Babu, D. Kumar, Suresh Veluru","doi":"10.1145/2742854.2744722","DOIUrl":null,"url":null,"abstract":"Optimal resource utilization is one of the biggest challenges for executing tasks within the cloud. The resource provider is responsible for providing the resources by creating virtual machines for executing task over a cloud. To utilize the resources optimally, the resource provider has to take care of the process of allocating resources to Virtual Machine Manager (VMM). In this paper, an efficient way to utilize the resources, within the cloud, has been proposed considering remaining resources should be maximum at a single machine but not distributed. As a framework to virtual resource mapping, a Simple Genetic Algorithm is applied to solve the heuristic of allocating problem. We may also use conversion of multiple parameters into single equivalent parameter so that number of inputs and comparisons will be reduced.","PeriodicalId":417279,"journal":{"name":"Proceedings of the 12th ACM International Conference on Computing Frontiers","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2742854.2744722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Optimal resource utilization is one of the biggest challenges for executing tasks within the cloud. The resource provider is responsible for providing the resources by creating virtual machines for executing task over a cloud. To utilize the resources optimally, the resource provider has to take care of the process of allocating resources to Virtual Machine Manager (VMM). In this paper, an efficient way to utilize the resources, within the cloud, has been proposed considering remaining resources should be maximum at a single machine but not distributed. As a framework to virtual resource mapping, a Simple Genetic Algorithm is applied to solve the heuristic of allocating problem. We may also use conversion of multiple parameters into single equivalent parameter so that number of inputs and comparisons will be reduced.