RECOVERY AND USER PRIORITY BASED LOAD BALANCING IN CLOUD COMPUTING

Cloud Computing becomes an important aspect in computer science. For systematic use of the cloud, an efficient load balancing algorithm is required for scheduling the tasks in a well organized and logical manner. The Min-Min algorithm is an efficient approach to enhance the total completion time of the tasks. The major shortcoming is, it let load imblanced on the resources. This drawback can be removed by using an improved load balancing Min-Min algorithm (LBIMM). User priority- an another aspect, which plays a vital role in terms of pay-per-use base. Cloud providers offers different type of QoS to put up the demands for different type of users. To provide the guarantees, load balancing algorithm must consider User Priority and Failure Recovery. Availability is considered as the growing and reoccurring concern in software intensive systems. PA-LBIMM considers user priority and seeks to minimize the total completion time.It fails to define, what will happen if a resource fails/crashes? To remove this constraint, a failure recovery policy is proposed in this paper. So that, if a resource fails then the tasks must be rescheduled to achieve minimum completion time. At last, the introduced policy is simulated using Matlab toolbox. The results show that the policy can led to significant rise in performance of the resource utilization.