• DocumentCode
    256804
  • Title

    The Allocation of Cloud Computing Resources Based on the Improved Ant Colony Algorithm

  • Author

    Zhe Gao

  • Author_Institution
    Sch. of Comput. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    334
  • Lastpage
    337
  • Abstract
    Cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. The allocation of cloud computing resource is a hot topic. Many scholars have done some research in this area. In this paper, we adopt the improved ant colony optimization algorithm to compute the allocation of the cloud computing resource and to analyze the impact of bandwidth, the load of network and response time on the cloud resource. Analysis and simulation results show that the throughput is increased and the response time isreduced based on the improved ACO compared with the routing algorithm (OSPF).
  • Keywords
    ant colony optimisation; cloud computing; grid computing; parallel processing; ACO; ant colony algorithm; bandwidth impact; cloud computing resources allocation; computer science concept; distributed computing; grid computing; parallel computing; Algorithm design and analysis; Cities and towns; Cloud computing; Computational modeling; Resource management; Routing; Throughput; Allocation; Ant Colony Algorithm; Cloud Computing; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.182
  • Filename
    6911513