Author : Fereshte Habibi, Dr. Homayon Motameni, Farhad Ramezani [ Special \\\"9thSASTech-2015, Iran\\\"-2015] [Page No : 60-67] [2015]

Taskscheduling problem in cloud computing environment is an important challenge that has a direct effect on quality of service provided therein. Task scheduling includes the process of tasks mapping to available resources based on task requirements and features. Task scheduling problem in cloud computing is a very important problem and included in Np problems that specifies an optimal schedule for implementation of tasks and optimal allocation of resources so that within shorter time, more task can be processed. Various algorithms have been offered so far for solving task scheduling problem in cloud computing. In this paper, a combined algorithm was presented for improvement of task scheduling problem in infrastructure layer of cloud computing, based on evolutionary genetic algorithm as well as tabu search algorithm. Empirical results indicated that the offered algorithm has a high efficiency and created a balance between users’ criteria.