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A Task Scheduling Based on Simulated Annealing Algorithm in Cloud Computing

원문정보

초록

영어

Because the task scheduling problem is np-complete problem, it is hard to find a deterministic algorithm to solve the problem of task scheduling in the cloud computing platform. Therefore this paper presents a task scheduling mechanism based on simulated annealing algorithm. The algorithm is a modern heuristic algorithm and overcome the shortcoming of the local optimum search method. The algorithm uses a greedy algorithm to generate the initial value, and heat to a sufficiently high temperature and according to certain rules to generate a new value. If the new value is better than the original value or at a certain probability can be accepted, then replace the original value with the new value until cool. Experiments proved the feasibility and effectiveness of the algorithm. Compared with traditional algorithms, this task scheduling mechanism not only meets the needs of users and improves the performance of the system.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Virtual Machine Selection Strategy Based on Simulated Annealing Algorithm
  3.1. Simulated Annealing Algorithm Description
  3.2. Simulated Annealing Algorithm Framework
 4. Algorithm Implementation and System Test
 5. Conclusions
 Acknowledgements
 References

저자정보

  • Xi Liu College of Information Science and Engineering, Yunnan University, Kunming Yunnan China
  • Jun Liu College of Mathematics and Information Science, Qujing Normal University, Qujing Yunnan China

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