Independent task scheduling in cloud environment using Big Bang-Big Crunch approach

Cloud computing is a well known computing technology that deals with large capacity of information or data using highly available geographically distributed resources that can be accessed by user via internet in terms of pay per use basis. In such a way, tasks should be scheduled efficiently such that user specified QoS constraints are satisfied. Task scheduling, which is NP-complete problem, plays an important role in cloud computing. In this research work, Big Bang-Big Crunch (BB-BC) technique is used for scheduling of independent tasks in the cloud environment aiming to reduce makespan. The performance of the proposed approach is evaluated by comparing it against GA using CloudSim tool. Experimental results show that the BB-BC approach outperforms GA approach in terms of makespan.