Dynamic task scheduling with advance reservation of resources to minimize turnaround time for computational grid

Abstract

It is a vital necessity of a heterogeneous environment to schedule the resources efficiently among applications to optimize the execution time to provide well-regulated services to the users. The system is said to be effective only if it supplies the resources on time and assures smooth task execution. This paper introduces a dynamic task scheduling with advance reservation (DTSAR) of resources to optimize turnaround time (TAT). A task will be dynamically allocated to the resource in an advance manner that takes meanest execution time. More parameters are considered for performance comparison viz. flow time, average utilization and processing cost. Simulation results acknowledge the preferable achievements of the proposed scheduling schemes on the comparison of another state of art in literature. The experimental assessments and obtained results show that DTSAR is preferable than other considered heuristics in terms of TAT and other QoS parameters.