Collective Value of QoS: A Performance Measure Framework for Distributed Heterogeneous Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
HCW '99 Proceedings of the Eighth Heterogeneous Computing Workshop
Toward Quality of Security Service in a Resource Management System Benefit Function
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Supporting QoS-Based Discovery in Service-Oriented Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
End-to-end quality of service for high-end applications
End-to-end quality of service for high-end applications
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
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QoS (quality of service) has become a hot topic of research in service-oriented grid environment. The key question of embedding multidimensional QoS into task scheduling and RMS (resource management system) evaluation is to find a scheme to integrate multiple QoS metrics. In this paper, measurement model of grid QoS is proposed to integrate multiple QoS metrics. By using this model, multi-dimensional QoS scheduling heuristics is put forward. Finally, two simulation experiments are conducted: one is to make a comparison between traditional Min-Min and multi-dimensional QoS guided Min-Min; another is to apply measurement model to evaluate the performance of grid RMS. It is indicated that the measurement model can integrate multiple QoS metrics effectively and multi-dimensional QoS scheduling can enhance the performance of grid environments remarkably.