{"title":"Design and analysis of resource allocation techniques in cloud partitions","authors":"Shweta T. Ukande, R. Dharmik","doi":"10.1109/STARTUP.2016.7583979","DOIUrl":null,"url":null,"abstract":"Cloud computing is efficient and scalable technology. Cloud is nothing but a pool of resources, which provides miscellaneous services to different kind of users. Users send requests to cloud when they want service from cloud. When request is received at cloud, resource is allocated to that user and respective service is provided. As it is efficient and scalable, there is a rapid growth in cloud users so the load of requests on cloud is increased. This load should be balanced properly, to improve the system performance. Usually, virtualization concept is used to reduce load of requests at cloud. Strategy of allocating resource to user, which involves load balancing techniques, has to be good enough to provide maximum resource utilization and throughput. In this article a better load balancing algorithm is proposed.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STARTUP.2016.7583979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cloud computing is efficient and scalable technology. Cloud is nothing but a pool of resources, which provides miscellaneous services to different kind of users. Users send requests to cloud when they want service from cloud. When request is received at cloud, resource is allocated to that user and respective service is provided. As it is efficient and scalable, there is a rapid growth in cloud users so the load of requests on cloud is increased. This load should be balanced properly, to improve the system performance. Usually, virtualization concept is used to reduce load of requests at cloud. Strategy of allocating resource to user, which involves load balancing techniques, has to be good enough to provide maximum resource utilization and throughput. In this article a better load balancing algorithm is proposed.