Performance-Aware Workflow Management for Grid Computing

Authors:
D. P. Spooner;J. Cao;S. A. Jarvis;L. He;G. R. Nudd
Affiliations:
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK,;Center for Space Research, Massachusetts Institute of Technology, Cambridge, USA;Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK,;Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK,;Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK,
Venue:
The Computer Journal
Year:
2005

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Abstract

Grid middleware development has advanced rapidly over the past few years to support component-based programming models and service-oriented architectures. This is most evident with the forthcoming release of the Globus toolkit (GT4), which represents a convergence of concepts (and standards) from both the grid and web-services communities. Grid applications are increasingly modular, composed of workflow descriptions that feature both resource and application dynamism. Understanding the performance implications of scheduling grid workflows is critical in providing effective resource management and reliable service quality to users. This paper describes a series of extensions to an existing performance-aware grid management system (TITAN). These extensions provide additional support for workflow prediction and scheduling using a multi-domain performance management infrastructure.