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

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dc.creatorAbramson, David
dc.creatorBuyya, Rajkumar
dc.creatorGiddy, Jonathan
dc.date2001-11-17
dc.date.accessioned2026-07-07T03:17:58Z
dc.date.available2026-07-07T03:17:58Z
dc.descriptionComputational Grids, coupling 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 discuss results of preliminary experiments on scheduling some parametric computations using the Nimrod-G resource broker on a world-wide grid testbed that spans five continents.
dc.identifierhttps://arxiv.org/abs/cs/0111048
dc.identifierhttp://arxiv.org/abs/cs/0111048
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30926
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectC.2.4
dc.titleA Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok
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