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On product-sum of triangular fuzzy numbers
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
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Introduction to Linear Optimization
Introduction to Linear Optimization
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IEEE Transactions on Parallel and Distributed Systems
Computer Architecture and Parallel Processing
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Introduction to Algorithms
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CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
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HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
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Computer Organization and Design
Computer Organization and Design
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ACM SIGMOD Record
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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
Robust scheduler for grid networks
Proceedings of the 2009 ACM symposium on Applied Computing
Scientific workflows and clouds
Crossroads - Plugging Into the Cloud
Scheduling multiple DAGs onto heterogeneous systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
CPOC: effective static task scheduling for grid computing
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Using relative costs in workflow scheduling to cope with input data uncertainty
Proceedings of the 10th International Workshop on Middleware for Grids, Clouds and e-Science
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Imprecise input data imposes special 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 that of three non-fuzzy schedulers, as well as to that of a fuzzy scheduler which considers only uncertainties of application demands. Results of simulations considering diverse scenarios, based on characteristics of real networks and grid applications, evince the advantages of the proposed scheduler.