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Task Scheduling in Cloud Computing with Improved Firefly Algorithm

Year: 2014

Type: article

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.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.602-605.3189

Authors: Li Feng Zhao, Sheng Han Zhou, Wen Bing Chang

Institution: Beihang University

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

OpenAlex ID: W2059443976

FWCI: 1.515

Cites: 11

Cited by: 5

Related to: 10