Hybrid Green Scheduling Algorithm Using Genetic Algorithm and Particle Swarm Optimization Algorithm in Iaas Cloud

نویسندگان

  • K. M. Uma Maheswari
  • Sujata Roy
  • S. Govindarajan
چکیده

Cloud computing is outsourcing of computing resources over the Internet where we can be connected to remote locations and can use the services over the Internet at another location to store our important information. The cloud service requirements provide access to advanced software applications. In cloud computing, the network of remote servers is used to process data. Workflow scheduling is one important issue in cloud. Scheduling of workflows is an NP complete problem. For NP complete problems, traditional scheduling algorithms do not provide optimal solution in polynomial time. In this paper a hybrid workflow scheduling algorithm is discussed for IaaS cloud environment. For simulation of the algorithm, WorkFlowSim simulator, an extension of CloudSim simulator, has been used. We have used varying types of workflows and it has been observed that the hybrid algorithm gives better result than the traditional PSO algorithm.

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تاریخ انتشار 2017