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  • 标题:THE TASKS ALLOCATION BASED ON THE PRE-ESTIMATION OF THE PROCESSING TIME IN THE CLOUD ENVIRONMENT
  • 本地全文:下载
  • 作者:YOUSSEF FAHIM ; ELHABIB BEN LAHMAR ; EL HOUSSINE LABRIJI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:75
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The Cloud computing has reduced the performance and profitability of the materiel and software resources. These challenges were solved by several load balancing algorithms between the virtual machines of the data centers. In fact, we find three main points of research in this article: Data center: It receives queries from clients of Cloud service to run them, using its own virtual machines in a sequential or parallel way. Sharing resources, is one of the main characteristics of the data center in the Cloud computing. Virtual machine (VM): Is a virtual device that has some performances determined by the Cloud provider. Such as memory storage capacity and the performance of its processor for the processing of tasks desired by the data center. The load balancing algorithms: they select the virtual machines in a data center for a new allocation of tasks, according to the predetermined metrics in each algorithm. Generally, we find two types of algorithms, static and dynamic. But, there is a problem when it comes to the current load of each virtual machine. In this paper, we propose a new improvement of the load balancing by our algorithm �pre-estimated processing time�, that allows cloud service providers, to improve the performance, availability and maximize the use of virtual machines in their data centers. The key point of our improvement, it�s that take into account, the current load of the virtual machine of a data center and the pre-estimation of the processing time of a task before any allocation.
  • 关键词:Cloud computing; Virtual machine; Load balancing; pre-estimated processing time.
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