JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
QoS and Contention-Aware Multi-Resource Reservation
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Supporting QoS-Based Discovery in Service-Oriented Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Scheduling Co-Reservations with Priorities in Grid Computing Systems
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
Service-Oriented Computing: Key Concepts and Principles
IEEE Internet Computing
Game-Theoretic Approach for Load Balancing in Computational Grids
IEEE Transactions on Parallel and Distributed Systems
Grid supporting platform for AMS data processing
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
A deadlock and livelock free protocol for decentralized Internet resource coallocation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Improving user QoS by relaxing resource reservation policy in high-performance grid environments
International Journal of Grid and Utility Computing
The Journal of Supercomputing
Hi-index | 0.00 |
How to guarantee user's QoS (Quality of Service) demands become increasingly important in a service-oriented grid environment. Current research on grid resource advance reservation, a well known and effective mechanism to guarantee QoS, fails to adapt to dynamic behavior of grid, and cannot solve imprecise deny of reservation request problem efficiently. For this, enabling system architecture for advance reservation is proposed. Virtual resource container (VRC) is adopted to alleviate a negative effect resulted from dynamic behavior of grid and QoS deviation distance (QDD) based logical resource selection algorithm is put forward to decrease imprecise reject ratio of reservation. At last, this new architecture is deployed to campus grid, and two illustrative experiments are conducted. Experimental results show that system architecture for advance reservation proposed in this paper can alleviate negative influence of grid resource dynamic fluctuation and avoid imprecise reject of advance reservation request effectively.