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
Link To Document