2013 International Conference on Computer Communication and Informatics 2013
DOI: 10.1109/iccci.2013.6466127
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Meta-heuristic hybrid dynamic task scheduling in Heterogeneous computing environment

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Cited by 2 publications
(2 citation statements)
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“…Wile for high performance computer system, allocation for multi tasks has always been an NP problem [5]. Therefore, in real applications, researchers normally use the heuristic algorithm which can mostly reach optimal situation to solve such kinds of scheduling problems [6], [7]. Many researchers have done a lot of works in this field.…”
Section: Related Workmentioning
confidence: 99%
“…Wile for high performance computer system, allocation for multi tasks has always been an NP problem [5]. Therefore, in real applications, researchers normally use the heuristic algorithm which can mostly reach optimal situation to solve such kinds of scheduling problems [6], [7]. Many researchers have done a lot of works in this field.…”
Section: Related Workmentioning
confidence: 99%
“…In [34], the authors presented a novel hybrid approach using genetic algorithms (GAs) namely, Hybrid Genetic Algorithm Case based reasoning (HGAC) for heterogeneous Computing environment by predicting the performance of online dynamic resource system to increase the overall effectiveness and improve decision faster for improve the makespan. Genetic algorithms and Case Based Reasoning (CBR) are suitable intelligent approaches for solving the problem of dynamic task scheduling.…”
Section: Meta-heuristic Hybrid Dynamic Task Schedulingmentioning
confidence: 99%