Modified application centric load balancing algorithm for satellite-based grids

Authors:
Brajendra K. Singh;Haresh S. Bhatt;Akshai K. Aggarwal
Affiliations:
Space Applications Centre, Indian Space Research Organization, Ahmedabad, India;Space Applications Centre, Indian Space Research Organization, Ahmedabad, India;School of Computer Science, University of Windsor, Ontario, Canada
Venue:
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Year:
2005

Citing 4
Cited 0

A Resource Management Architecture for Metacomputing Systems

IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Condor-G: A Computation Management Agent for Multi-Institutional Grids

HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
The Grid 2: Blueprint for a New Computing Infrastructure

The Grid 2: Blueprint for a New Computing Infrastructure
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

A load balancing algorithm for a heterogeneous distributed computing environment attempts to improve the response time of a parallel or distributed application by ensuring optimum utilization of available resources. When the compute-resources are geographically dispersed, as is the case for grids, these resources may be connected through low speed satellite networks. Hence network delay for data transfer may become a significant factor in the load balancing strategy. In this paper, we have enhanced the application centric load balancing strategy to take network delay into consideration in satellite-based grid computing. The modified algorithm uses a static scheme for allocation of computer and network resources. This can satisfy the QoS requirements of applications on the grid. We have extensively analyzed and tested the performance of our algorithm.