Authors: D. Doreen Hephzibah Miriam; K.S. Easwarakumar
Addresses: Department of Computer Science and Engineering, Anna University, Chennai 600025, India. ' Department of Computer Science and Engineering, Anna University, Chennai 600025, India
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.
Keywords: peer-to-peer; hypercubic P2P; grid computing; quality of service; QoS; quality of service; metascheduling; task scheduling; load balancing.
International Journal of Innovative Computing and Applications, 2012 Vol.4 No.1, pp.43 - 51
Received: 04 Oct 2011
Accepted: 18 Nov 2011
Published online: 27 Feb 2012 *