EFFICIENT APPROACH BASED ON TRUSTWORTHY WORK FLOW SCHEDULING IN CLOUDS DATA CENTER.
The ultimate aim of cloud providers by providing resources is increasing their revenues. This goal leads to a selfish behavior that negatively affects the users of a commercial multicloud environment. In the previous work introduce a pricing model and a truthful mechanism for scheduling single tasks considering two objectives: monetary cost and completion time. Task scheduling should satisfy the dynamic requirements of users and also need to utilize the virtual resources efficiently in cloud environment, so that task scheduling in cloud is an NP-Complete problem. In this paper, we present an optimization technique to reduce monetary cost and completion time of workflow scheduling. We also introduce an approach based on Particle Swarm Optimization (PSO) to schedule jobs on cloud. The representations of a position and particle velocity in a conventional PSO are extended to real vectors. The proposed approach aims to generate dynamically, an optimal schedule to complete tasks within minimum time duration and also to use resources efficiently.
Workflow scheduling, Particle Swarm Optimization (PSO), truthful mechanism and monetary cost.