A novel approach for QoS guided metascheduler for hypercubic P2P grid system

Abstract

Task scheduling is an integrated component of computing. One of the goals of P2P grid task scheduling is to achieve high system throughput while matching application needs with the available computing resources. This matching of resources in a non-deterministically shared heterogeneous environment leads to concerns over quality of service (QoS). In this paper, we integrate grid with P2P onto the modified hypercube topology to propose, a novel approach for QoS guided task scheduling algorithm called QoS guided hypercubic P2P grid metascheduler (QPGM) using min mean computation algorithm. The proposed scheme gives improved performance on load balancing and generates an optimal schedule so as to complete the tasks in a minimum time and to utilise the resources efficiently. Simulation results demonstrate that QPGM task scheduling algorithm can get better effect for a large-scale optimisation problem.