• DocumentCode
    2169755
  • Title

    Research on hybrid task scheduling algorithm simulation of ant colony algorithm and simulated annealing algorithm in virtual environment

  • Author

    Xian-Jia, Rong

  • Author_Institution
    Nanning College for Vocational Technology, Nanning, China
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    562
  • Lastpage
    565
  • Abstract
    According to certain rules, making use of ant colony optimization algorithm to search for optimal allocation scheme, and with the guidance of task scheduling and resource allocation, can solve the task scheduling in virtual resources environment. This paper will take the Qos service quality as a reference, virtualize the characteristics of resources, and conduct the resource allocation and task scheduling in ensuring the premise of Qos service quality. Through the hybrid ant colony optimization algorithm and simulated annealing algorithm, this paper will improve the efficiency of task scheduling in virtual resource environment.
  • Keywords
    Algorithm design and analysis; Ant colony optimization; Cloud computing; Quality of service; Resource management; Scheduling; Simulated annealing; Ant Colony algorithm; Simulated annealing; Task scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2015 10th International Conference on
  • Conference_Location
    Cambridge, United Kingdom
  • Print_ISBN
    978-1-4799-6598-4
  • Type

    conf

  • DOI
    10.1109/ICCSE.2015.7250310
  • Filename
    7250310