2012
DOI: 10.5121/ijcses.2012.3503
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Survey On Scheduling And Allocation In High Level Synthesis

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“…Node resources overload easily result in cloud computing task scheduling bottlenecks, which effects of task minimum completion time; node resources under-load, the resources can not be fully utilized [8,9]. In swarm intelligence optimization algorithms, there are PSO (Particle Swarm Optimization) algorithm [10], but PSO algorithm is is difficult to understand,comparing with ACO algorithm, meanwhile the algorithm is needed to encode for a large number of particles, so it requires larger work for the resource node and task particles [11,12].…”
Section: Testing Task Partition and Allocation On Cbdstpmentioning
confidence: 99%
“…Node resources overload easily result in cloud computing task scheduling bottlenecks, which effects of task minimum completion time; node resources under-load, the resources can not be fully utilized [8,9]. In swarm intelligence optimization algorithms, there are PSO (Particle Swarm Optimization) algorithm [10], but PSO algorithm is is difficult to understand,comparing with ACO algorithm, meanwhile the algorithm is needed to encode for a large number of particles, so it requires larger work for the resource node and task particles [11,12].…”
Section: Testing Task Partition and Allocation On Cbdstpmentioning
confidence: 99%