A Non-Invasive Software Architecture Style for RFID Data Provisioning

Ying Liu, Tao Lin, Sudha Ram and Xuemei Su
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Ying Liu: California State University Long Beach, USA
Tao Lin: SAP Research, SAP LLC, USA
Sudha Ram: University of Arizona, USA
Xuemei Su: California State University Long Beach, USA

International Journal of Applied Logistics (IJAL), 2010, vol. 1, issue 1, 1-15

Abstract: Integrating real-time RFID data into autonomous and heterogeneous information systems across the business value chain presents a number of challenges. At an abstract architecture level, this paper identifies important requirements for RFID data provisioning and points of integration. A non-invasive architecture style is proposed to satisfy these requirements. It has the advantages of low entry barriers, low latency, high flexibility, and independent evolvability. The architecture style is used as a basis for evaluating three existing architectures for RFID data provisioning. Various architecture mismatches that could hinder the pace of RFID adoption are identified and discussed. A new asymmetric integration approach is suggested as an alternative to existing methods.

Date: 2010
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