Matches in SemOpenAlex for { <https://semopenalex.org/work/W1601260131> ?p ?o ?g. }
- W1601260131 abstract "Heterogeneous Computing (HC) systems achieve high performance by networking together computing resources of diverse nature. The issues of task assignment and scheduling are critical in the design and performance of such systems. In this thesis, an auction based game theoretic framework is developed for dynamic task scheduling in HC systems. Based on the proposed game theoretic model, a new dynamic scheduling algorithm is developed that uses auction based strategies. The dynamic scheduling algorithm yields schedules with shorter completion times than static schedulers while incurring higher scheduling overhead. Thus, a second scheduling algorithm is proposed which uses an initial schedule generated with a learning automaton based algorithm, and then heuristics are used to identify windows of tasks within the application that can be rescheduled dynamically during run time. The algorithm yields significantly better completion times compared to static scheduling while incurring lesser overhead than a purely dynamic scheduler. Several different heuristics are investigated and compared in terms of how they impact the overall scheduler performance. Experimental results indicate that the proposed algorithms perform significantly better than previous algorithms reported in the literature." @default.
- W1601260131 created "2016-06-24" @default.
- W1601260131 creator A5016957914 @default.
- W1601260131 date "2005-01-01" @default.
- W1601260131 modified "2023-09-27" @default.
- W1601260131 title "A Game Theoretic Framework for Dynamic Task Scheduling in Distributed Heterogeneous Computing Systems" @default.
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