Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
A Performance Oriented Migration Framework For The Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
A low-cost rescheduling policy for efficient mapping of workflows on grid systems
Scientific Programming - AxGrids 2004
A set of schedulers for grid networks
Proceedings of the 2007 ACM symposium on Applied computing
Scheduling grid tasks under uncertain demands
Proceedings of the 2008 ACM symposium on Applied computing
Self-adjustment of resource allocation for grid applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance analysis of available bandwidth estimation tools for grid networks
The Journal of Supercomputing
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
Imprecise input data imposes additional challenges to grid scheduling. This paper introduces a novel scheduler based on fuzzy optimization called IP-FULL-FUZZY which considers uncertainties of both application demands and of resource availability. The effectiveness of the proposed scheduler is compared to those of a non-fuzzy scheduler as well as to those of a fuzzy scheduler which considers only uncertainties of application demands. Results evince the advantages of adopting the proposed scheduler.