A fuzzy logic-based method for solving the scheduling problem in the cloud environments using a non-dominated sorted algorithm

摘要

Cloud computing as a new model of delivering IT services on the Internet has attained highattention recently. In this new paradigm, efficient service management causes the high qualityof provided services. Scheduling as one of the most important duties of service managementis a key problem in cloud computing that affects the total system performance. In most cases,the meta-heuristic methods are used for optimizing the scheduling issues instead of traditionalmethods. One of the influential evolutionary algorithms for optimizing the complicated problemsis a non-dominated sorting particle swarm optimization (NSPSO) technique. In this paper, wepropose a meta-heuristic technique using the NSPSO model for decreasing total cost andconsumed total time. Furthermore, fuzzy set theory is applied to select the best solution.Simulation results have indicated that the efficiency of NSPSO is improved. In the many types ofexperiment, the proposed NSPSO algorithm was appropriate to keep a good spread of solutionsand good converge. In addition, the diversity preserving mechanism applied in NSPSO hasimprovement against the other two investigated algorithms.