Algorithm to improve job scheduling problem in cloud computing environment

Increasing development of cloud computing has enabled service providers to efficiently present their services in cloud platform; however, they still must face a prominent issue which is providing favorable quality of service parameters. The main challenge is distributing request in such a way that resources and memory are optimally utilized while QoS requirements such as make-span are minimized. Recent research works on cloud computing have mostly considered one criterion. In this paper a multi-objective scheduling scheme is investigated and a static method for distributing different requests in cloud platform is proposed. Exploiting particle swarm optimization, the proposed method reduces make-span in addition to decreasing used memory. Simulation results revealed that the proposed method significantly reduces make-span and memory usage in comparison to its counterparts.

کلیدواژه ها:

Processing in cloud environment ، scheduling ، Particle swarm optimization ، Computational complexity ، Cloudsim