Thursday 25th of April 2024
 

Study on Cloud Computing Resource Scheduling Strategy Based on the Ant Colony Optimization Algorithm


Linan Zhu, Qingshui Li and Lingna He

In order to replace the traditional Internet software usage patterns and enterprise management mode, this paper proposes a new business calculation mode- cloud computing, resources scheduling strategy is the key technology in cloud computing, Based on the study of cloud computing system structure and the mode of operation, The key research for cloud computing the process of the work scheduling and resource allocation problems based on ant colony algorithm , Detailed analysis and design of the specific implementation for cloud resources scheduling . And in CloudSim simulation environment and simulation experiments, the results show that the algorithm has better scheduling performance and load balance than general algorithm.

Keywords: Cloud computing; Task scheduling; Ant colony algorithm; MapReduce, CloudSim

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ABOUT THE AUTHORS

Linan Zhu
Linan Zhu received the degree in Computer Science & Technology from Zhejiang University of Technology, in 2004. He is a research student of College of Mechanical Engineering, Zhejiang University of Technology. Currently, he is a Lecturer at Zhejiang University of Technology. His interests include Cloud Manufacturing? Networked Manufacturing?Resource scheduling and PSS.

Qingshui Li
Qingshui li received master degree from Zhejiang University in 2002.He is a associate professor at Zhejiang University of Technology. His interests include HCI?personalized recommendation?data minning and Extenics.

Lingna He
College of Computer Science, Zhejiang University of Technology


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