Approach to Solve NP Complete Problem Using Game Theoretic Scheduling Algorithm and Map-Reduce on Clouds

In case of NP-complete problem, it is curious issue to schedule large scale parallel computing applications on heterogeneous systems like Hybrid cloud. End user want to meet Qulity of Service requirement (QoS). To process huge number of Bagof- Task (BOT) concurrently in such environment with QOS is a Big problem. For that it needs a exact solution. Here we propose Multiobjective scheduling algorithm to schedule particular BOTs. Algorithm optimizes two user objectives such as, Execution time and Economic cost where two constraints to consider are Network Bandwidth and Storage requirement.