2018 Vol.1 Apr No.2

• Title: Optimization of rational scheduling method for cloud computing resources under abnormal network
• Name: Adelaide Edwina
• Company: University of Connectic, America
• Abstract:

  When the traditional heuristic algorithm is used to schedule cloud computing resources under abnormal networks, there is a problem that the scheduling speed is slow and the effect is poor. Aiming at the above problems, combined with the characteristics of cloud computing and the actual needs of cloud computing resource allocation, based on the advantages of genetic algorithm and ant colony algorithm, a hybrid optimal cloud computing resource scheduling algorithm is designed. This algorithm combines the advantages of genetic algorithm and ant colony algorithm. In the early stage of the algorithm, the genetic algorithm is used to improve the search efficiency of the better solution. In the later stage of the algorithm, the ant colony algorithm is used to improve the accuracy of the optimal solution and complete the cloud under the abnormal network. Reasonable scheduling of computing resources. The results show that the hybrid algorithm is faster than the single genetic algorithm and ant colony algorithm. It only takes 10s, the resource load is more balanced, and the scheduling effect is better.

• Keyword: Anomaly network; Cloud computing; Resource scheduling; Genetic algorithm; Ant colony algorithm;
• DOI: 10.12250/jpciams2018020117
• Citation form: Adelaide Edwina.Optimization of rational scheduling method for cloud computing resources under abnormal network[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 12-17.

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