• DocumentCode
    3204869
  • Title

    Network energy consumption analysis and dormancy mechanism based on ant colony algorithm in cloud computing environment for IOT service and real-time embedded industrial control system

  • Author

    Shi Shaoling ; Zhang Jing ; Chen Moliang ; Rong Hui ; Cui Yi ; Xiaodong, Fu

  • Author_Institution
    Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5568
  • Lastpage
    5572
  • Abstract
    At present, cloud computing technology is widely used in IOT(Internet of Things) service and real-time embedded industrial control system energy consumption, problem in the cloud computing has always been the hot topic of industry and academic research. This paper analyzes the energy consumption of each equipment under the dormancy mechanism in the cloud computing environment. Meanwhile, this paper introduces the ant colony algorithm into a basic network energy consumption model, thereby building a new model for the energy consumption optimization. The simulation experiments were implemented on a cloud computing simulation platform CLOUDSIM. In comparison with two algorithms - Min LP and Dijkstra, the model presented in this paper was proved to be effective and more energy-efficient.
  • Keywords
    Internet of Things; ant colony optimisation; cloud computing; embedded systems; industrial control; power aware computing; power consumption; Dijkstra algorithm; IOT service; Internet of Things service; Min LP algorithm; ant colony algorithm; cloud computing environment; dormancy mechanism; energy consumption optimization; network energy consumption analysis; real-time embedded industrial control system; real-time embedded industrial control system energy consumption; Algorithm design and analysis; Analytical models; Cloud computing; Computational modeling; Computers; Energy consumption; Mathematical model; IOT service; ant colony algorithm; cloud computing; dormancy mechanism; energy consumption analysis; real-time embedded industrial control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161791
  • Filename
    7161791