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   task scheduling algorithm using covariance matrix adaptation evolution strategy (cma-es) in cloud computing  
   
نویسنده emadi ghazaal ,rahmani amir masoud ,shahhoseini hamed
منبع journal of advances in computer engineering and technology - 2017 - دوره : 3 - شماره : 3 - صفحه:135 -144
چکیده    the need for planning the scheduling of the user’s jobs has emerged as an important challenge in the field of cloud computing. it is mainly due to several reasons, including everincreasing advancements of information technology and an increase of applications and user needs for these applications with high quality, as well as, the popularity of cloud computing among user and rapidly growth of them during recent years. this research presents the covariance matrix adaptation evolution strategy (cma-es), an evolutionary algorithm in the field of optimization for tasks scheduling in the cloud computing environment. the findings indicate that presented algorithm, led to a reduction in execution time of all tasks, compared to spt, lpt, rlpt, ga and pso algorithms.
کلیدواژه cloud computing ,task scheduling ,virtual machines(vms) ,convariance matrix adaptation evolution strategy(cma-es)
آدرس islamic azad university, science and research branch, iran, islamic azad university, science and research branch, department of computer engineering, iran, islamic azad university, science and research branch, iran
پست الکترونیکی tasom2002@yahoo.com
 
 

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