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A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Broker
 

Summary: 1
A Computational Economy for Grid Computing
and its Implementation in the Nimrod-G Resource Broker
David Abramson , Rajkumar Buyya , and Jonathan Giddy
School of Computer Science and Software Engineering Welsh e-Science Centre
Monash University, Caulfield Campus Department of Computer Science, Cardiff University,
Melbourne, Australia Cardiff, UK
Email: davida@csse.monash.edu.au, rajkumar@buyya.com, J.P.Giddy@cs.cf.ac.uk
Abstract: Computational Grids that couple geographically distributed resources such as PCs,
workstations, clusters, and scientific instruments, have emerged as a next generation computing platform
for solving large-scale problems in science, engineering, and commerce. However, application
development, resource management, and scheduling in these environments continue to be a complex
undertaking. In this article, we discuss our efforts in developing a resource management system for
scheduling computations on resources distributed across the world with varying quality of service. Our
service-oriented grid computing system called Nimrod-G manages all operations associated with remote
execution including resource discovery, trading, scheduling based on economic principles and a user
defined quality of service requirement. The Nimrod-G resource broker is implemented by leveraging
existing technologies such as Globus, and provides new services that are essential for constructing
industrial-strength Grids. We present the results of experiments using the Nimrod-G resource broker for
scheduling parametric computations on the World-Wide Grid resources that span five continents.

  

Source: Abramson, David - Caulfield School of Information Technology, Monash University

 

Collections: Computer Technologies and Information Sciences