Priority Based Resource Allocation For Meta-Task Scheduling In Cloud Computing

Abstract

Cloud computing environment assures to provide on demand computing services through internet on pay-as-you-use basis. Even though there are several issues existing, scheduling is the main issue in cloud. Scheduling of tasks is difficult because of sole elements in cloud computing such as resource heterogeneity, task heterogeneity and user priority. This paper proposes a new Priority based Resource Allocation (PRA) for metatask scheduling in cloud. This algorithm thinks about priority given to meta-task by the users. The instances of high speed resource will be used for scheduling the meta-task set with user priority and heterogeneous resources are allocated for non-priority meta-task set. The PRA algorithm minimizes the makespan and cost, and increases the utilization of resources over the existing algorithm.