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  • 标题:Load Balancing Scheduling with Shortest Load First
  • 本地全文:下载
  • 作者:Ranjan Kumar Mondal ; Enakshmi Nandi ; Debabrata Sarddar
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2015
  • 卷号:8
  • 期号:4
  • 页码:171-178
  • DOI:10.14257/ijgdc.2015.8.4.17
  • 出版社:SERSC
  • 摘要:Cloud computing is an internet based technology. This computing paradigm has increased the utility of network where the potentiality of one node can be used by Other node, cloud provides services on demand to distributive resources such as Database, servers, software, infrastructure etc. in pay per use basis, load balancing is One of the unique and important issues for distributing a larger processing lode to smaller processing nodes for increasing total performance of system, in load balancing method the workload not only distribute across multiple computers but also other resources over the network links to gain optimum resource utilization, minimum average response time and avoid overload condition. Different load balancing algorithms have been launched in order to manage the resources of service provider efficiently and effectively. The objective of this paper is to propose efficient scheduling algorithm that can maintain the load balancing and provide improved strategies through efficient job scheduling that would decrease the average response time and increase the availability of more VMs to allocate new jobs from requesting nodes.
  • 关键词:Cloud computing; Load balancing; SJF
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