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  • 标题:Dynamic Resource Scheduling In Cloud Computing Using Genetic Algorithm: A Survey
  • 本地全文:下载
  • 作者:Manjunatha Swamy C ; Anil Kumar B H ; Kiran B
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:5
  • 页码:4357-4360
  • 出版社:TechScience Publications
  • 摘要:Resource scheduling and allocation is very critical issue in cloud computing. Any computation is carried out when there is sufficient or proportionate resources available. Services are provided to the customers or end users with the proper analysis of resources. Cloud computing plays a vital role is a model for enabling ubiquitous network access to a shared pool of configurable computing resources. Any cloud provides services mainly three ways software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). Infrastructure as a service in cloud grabs much attention in Cloud computing. To utilize resources more efficiently an optimized scheduling algorithm is used to address cloud scheduling problems. By deploying virtual machines in appropriate locations to improve the speed of locating best allocation method which intern permit maximum utilization of resources available. The scheduling resources to overcome unbalance in assignment problem, in this parallel genetic algorithm concept is used which is much faster than traditional genetic algorithm [1].
  • 关键词:Cloud computing; Resource Scheduling; VRaaS;(virtual resource as a service); VMware; Parallel genetic;algorithm; Assignment problems
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