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• W2896715415 abstract "Among the research challenges, in Grid Computing we need to make the system robust as much as the uncertainties of the different measures extracted from the computational infrastructure, as for the imprecision of the computations related to the decision making. In particular, the appropriation of information relevant to task scheduling from a set of heterogeneous sources and dynamic behavior has been the focus of a significant number of studies. Scheduling tasks is a known NP-Hard problem. This paper provides an approach with Fuzzy Type-2 logics to treat uncertainties and dynamic behavior for scheduling tasks in grid environments, named Int-fGrid. The scheduler was validated through simulations in the SimGrid framework with a model of the GridRS architecture. Our results show that the Fuzzy Type-2 approach provides makespans up to 17.60% better than the best alternative tested named scheduler XSufferage." @default.
• W2896715415 created "2018-10-26" @default.
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• W2896715415 date "2018-07-01" @default.
• W2896715415 modified "2023-09-26" @default.
• W2896715415 title "Int-fGrid: BoT Tasks Scheduling Exploring Fuzzy Type-2 in Computational Grids" @default.
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• W2896715415 doi "https://doi.org/10.1109/fuzz-ieee.2018.8491673" @default.
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