2019 Vol.2 Oct. No.5

• Title: Research on Equilibrium Scheduling Algorithm of Big Data in Network under Cloud Computing
• Name: Nobuko Truong
• Company: Chungnam National University
• Abstract:

  In order to find the optimal big data equalization scheduling scheme under cloud computing and reduce the completion time of tasks, an improved ant colony algorithm based algorithm for large data equalization scheduling in cloud computing is proposed. Firstly, the structure of the equilibrium scheduling algorithm is established, then the equilibrium problem to be discussed is described. Finally, the ant colony algorithm is used to simulate the ant search food process to solve the objective function. And introduce local and global information deep update methods to improve, speed up the search speed, and finally perform performance test experiments on CloudSim simulation platform. The results show that the proposed algorithm not only greatly reduces the cloud computing task execution time (2.5s), but also solves the problem of data load imbalance, and achieves the balanced scheduling of big data in the cloud computing network.

• Keyword: Cloud Computing; Big Data; Balanced Scheduling; Ant Colony Algorithm;
• DOI: 10.12250/jpciams2019050552
• Citation form: Nobuko Truong.Research on Equilibrium Scheduling Algorithm of Big Data in Network under Cloud Computing[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 42-47.

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