Based on the Firefly Algorithm and Ant Algorithm for Resource Schedule in Cloud Computing System
Firefly algorithm and ant colony algorithm are new type of swarm intelligence algorithm, it have been widely used to resource Schedule of cloud computing, but the two algorithms themselves have some problems. The firefly algorithm for fast convergence, is easy to fall into local optimum;
the ant colony algorithm is in the optimal solution through information pheromone accumulation and renewal of convergence. Because of lack of initial pheromone, the solution is slow. In order to solve these problems, this paper puts forward a kind of fusion of firefly and ant colony algorithm
based on the fusion algorithm. The firefly algorithm generates pheromone, and make use of the advantages of ant colony algorithm with positive feedback and distributed parallel global search ability to set up strength of the updated model so as to obtain exact solutions. The simulation results
show that the fusion algorithm of firefly algorithm and ant colony algorithm can solve resource schedule optimization problems are that the convergence rate is fast, the search performance is good, and it has achieved very good results.
Keywords: Ant Colony; Cloud Computing; Firefly Algorithm; Swarm Intelligence
Document Type: Research Article
Affiliations: 1: Information Engineering School, Shenyang University, Shenyang, 110044, China 2: School of Information Engineering, National Central University, Taiwan, 10617, China
Publication date: 01 September 2016
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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