• DocumentCode
    1710791
  • Title

    EPCloud Flow: Load Prediction and Migration Optimizations for EPC Network on Cloud

  • Author

    Hoang Minh Nguyen ; Seong Hoon Kim ; Dinh Tuan Le ; Sehyeon Heo ; Janggwan Im ; Daeyoung Kim

  • Author_Institution
    Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2015
  • Firstpage
    981
  • Lastpage
    984
  • Abstract
    To ensure global interoperability in today´s fast-moving trading networks, EPC global Network (EPC Network) architecture has been at the core of Electronic Product Code (EPC) as a universal identifier for objects´ virtual representations. While Cloud technology has largely been used for EPC Network´s real world deployment for thousands of vendors, an optimized Cloud solution has yet to be provided. Therefore, in this paper, we explore the challenges of EPC Network deployment, and propose our own Cloud solution with optimizations in load prediction and migration management. As proof of concept, we have conducted experiments with regard to prediction accuracy and migration performance.
  • Keywords
    cloud computing; load forecasting; open systems; power aware computing; EPC network architecture; EPCglobal network architecture; EPCloudFlow; cloud solution; cloud technology; electronic product code; fast-moving trading networks; global interoperability; load migration management; load prediction; load prediction management; migration optimizations; object virtual representations; Cloud computing; Clouds; Computer architecture; Delay effects; Load management; Radiofrequency identification; Standards; Cloud Computing; EPCglobal Network; RFID; load balancing; load prediction; redirection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.132
  • Filename
    7214144