Task Scheduling in Cloud Computing with Improved Firefly Algorithm

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Abstract:

The paper improved a task scheduling in cloud computing based on intelligence firefly algorithm. Firstly, the study finds the better solution of cloud computing task scheduling with intelligence firefly algorithm. Then the better solution was turned into the improved firefly algorithm to find the global optimal solution through improved firefly information communications. The Experimental Analysis result suggest the improved algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution time of objective function value is shorten.

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3189-3193

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August 2014

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