EPCloudFlow: Load Prediction and Migration Optimizations for EPC Network on Cloud

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 333
  • Download : 56
To ensure global interoperability in today’s fast-moving trading networks, EPCglobal 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.
Publisher
IEEE Computer Society
Issue Date
2015-06-27
Language
English
Citation

IEEE Cloud 2015

URI
http://hdl.handle.net/10203/210822
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0