RMF: Resource monitoring framework for integrating active and passive monitoring tools in Grid environments

Authors:
Ruoyun Yang;Mitchell D. Theys
Affiliations:
Electronic Visualization Laboratory, Department of Computer Science, University of Illinois-Chicago, 851 S. Morgan St., MC 152, Room 1120, Chicago, IL, 60607, USA;Electronic Visualization Laboratory, Department of Computer Science, University of Illinois-Chicago, 851 S. Morgan St., MC 152, Room 1120, Chicago, IL, 60607, USA
Venue:
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part II
Year:
2005

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Abstract

As a recent trend, Grids are emerging as the next-generation computing platform. Organizations and academic research are beginning to develop monitoring tools and monitoring systems as needed for their Grid implementation. These monitoring tools and systems have their own features and are not necessarily interoperable due to different design and implementation approaches. This paper presents the design and implementation details of the resource monitoring framework (RMF) that provides network administrators and researchers with a consistent, easy to use, scalable GUI interface for a wide range of monitoring applications. The key RMF design goal is to use any measurement tools within a single infrastructure for Grid clusters and the global Grid environment.