PARTICAL SWARM OPTIMIZATION OF TASK SCHEDULING IN CLOUD COMPUTING

Resource provisioning and pricing modeling in cloud computing makes it an inevitable technology both on developer and consumer end. Easy accessibility of software and freedom of hardware configuration increase its demand in IT industry. It’s ability to provide a user-friendly environment, software independence, quality, pricing index and easy accessibility of infrastructure via internet. Task scheduling plays an important role in cloud computing systems. Task scheduling in cloud computing means that to allocate best suitable resources for the task to be execute with the consideration of different parameters like cost, time, scalability, make span, reliability, availability, throughput, resource utilization and so on. Scheduling of tasks requires a set of rules and regulations which sets an agreement between users and providers of cloud. Task scheduling is the optimal sizing of set of subtasks from the available sources.