Suitability of Data Intensive Application in a Bandwidth Constrained Global Grid Network

T R Srinivasan,R Shanmugalakshmi

doi:10.3844/ajassp.2011.459.462

Abstract

Problem statement: To check the suitability of real time data intensive applications in a global grid network. Approach: With improved bandwidth availability, taking the grid to the internet is becoming a reality. However issues’ regarding the security and bandwidth utilization needs to be understood as these factors become crucial to the success of the grid as a commercial model. Results: Here in this research work we investigate the effect of data intensive applications running in a grid with different number of nodes under constrained bandwidth. Conclusion/Recommendations: Our simulation shows that increasing node count does not guarantee improved quality of service.

Highlights

Grid computing is gaining popularity in wide areas including academic, research and industrial environments (Mache and Apon, 2007)
Great advances have been made in the field of Grid computing, QoS remains a major issue as Grid systems cannot be scaled proportionately as expected by the user
In this study we investigate the performance of collective workload with different communication size of task and with different number of distributed processors

Summary

INTRODUCTION

Grid computing is gaining popularity in wide areas including academic, research and industrial environments (Mache and Apon, 2007). The grid is an integrated infrastructure that can play the dual roles of a resource consumer and as a donator in distributed computing environments (Roy and Das, 2009). Service-oriented Grid technologies are increasingly being utilized for the realization of Bioinformatics, Nuclear physics experiments and astronomical computations to name a few for the integration of advanced analysis and simulation applications as well as distributed heterogeneous data sources and information systems (Arbona et al, 2007; Vishwanathan et al, 2007). A computational grid (Syan and Harnarinesingh, 2010) works in a highly dynamic environment with the resources including bandwidth and processor time availability changing continuously and not guaranteeing QoS. Grid applications in a global network needs to compete for shared resources which again leads to degradation of QOS (Wang et al, 2009)

MATERIALS AND METHODS

RESULTS AND DISCUSSION

CONCLUSION