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Research Papers

Modeling an Radio Frequency Identification Asset Management Solution Hosted on a Cloud Service and Its Characterization

[+] Author and Article Information
Arunabh Chattopadhyay

Department of Mechanical & Aerospace Engineering,
University of California Los Angeles,
Los Angeles, CA 90095

Jérémy Stentz

Institut Français de Mécanique Avancée,
AUBIERE 63175 Cedex

Rajit Gadh

Department of Mechanical & Aerospace Engineering,
University of California Los Angeles,
Los Angeles, CA 90095

Contributed by the Design Engineering Division of ASME for publication in the Journal of Computing and Information Science in Engineering. Manuscript received May 2, 2012; final manuscript received September 24, 2012; published online November 15, 2012. Assoc. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 12(4), 041008 (Nov 15, 2012) (10 pages) doi:10.1115/1.4007862 History: Received May 02, 2012; Revised September 24, 2012

A web-based architecture of an radio frequency identification (RFID) tracking solution is proposed and deployed. The architecture attempts to depart from the typical localized approach of most RFID middlewares. The middleware has been replaced by a web service residing in a cloud. The traditional roles of the middleware such as tag data filtering, sorting, storage, and event processing have been redistributed amongst an RFID reader-based application and the web service. This architecture provides more flexibility and control to large scale RFID-based supply chain operations which are global in nature and unsuitable to the traditional localized middleware-based architecture of RFID tracking solutions. The feasibility of the web-based architecture is further augmented by validating performance parameters such as tag processing and primitive and complex event processing delay. Different subarchitectures are also proposed based on performance data for different scales of operations.

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Figures

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Fig. 1

Symbolic system architecture of the proposed RFID solution

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Fig. 2

Reader resident application workflow

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Fig. 3

Reader web-service workflow

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Fig. 4

Using the reader administration page of the user interface

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Fig. 5

Creating complex rules from simple rule on the event administration page

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Fig. 6

Delay performance comparison of localized server and cloud-based web server

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Fig. 7

Processing delay for evaluating primitive events

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Fig. 8

Flowchart for complex event processing by the RRA

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Fig. 9

Comparison of complex event processing delay

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