Cloud Computing Solution and Services for RFID Based Supply Chain Management
Affiliation(s)
Department of Computer Science, UBIT, University of Karachi, Karachi City, Pakistan. Department of Computer Science and Software Engineering, University of Hail, Hail, KSA.
Department of Computer Science, UBIT, University of Karachi, Karachi City, Pakistan. Department of Computer Science and Software Engineering, University of Hail, Hail, KSA.
ABSTRACT
Deploying and Implementing RFID Systems for tracking and controlling
products in supply chain management is not affordable for small and midsized
companies due to its complexity, cost, and difficulties pertaining data management
and maintenance. Cloud computing can be used to mitigate the risks associated
with the implementation and deployment of RFID based on system in supply chain
management because the complex system for data filtering, management and
maintenance can be implemented on the cloud that otherwise requires the
purchase of new hardware, staff and professional services.
Cite this paper
S. Jamal, A. Omer and A. Salam Qureshi, "Cloud Computing Solution and Services for RFID Based Supply Chain Management," Advances in Internet of Things, Vol. 3 No. 4, 2013, pp. 79-85. doi: 10.4236/ait.2013.34011.
S. Jamal, A. Omer and A. Salam Qureshi, "Cloud Computing Solution and Services for RFID Based Supply Chain Management," Advances in Internet of Things, Vol. 3 No. 4, 2013, pp. 79-85. doi: 10.4236/ait.2013.34011.
References
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[1] GSA Smart Card Website. http://www.smart.gov/ [2] K. Finkenzeller, “RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification,” 2nd Edition, John Wiley & Sons Ltd., Munich, 2003. [3] Automatic Identification Technology Office. http://www.dodait.com/ [4] L. Sullivan, “RFID Implementation Challenges Persist, All This Time Later,” Information Week, 2005. http://www.informationweek.com/rfid-implementation-challenges-persist-a/171203904?pgno=1 [5] RFID Journal. http://www.rfidjournal.com/ [6] T. Hey, S. Tansley and K. Tolle, “The Fourth Paradigm: Data-Intensive Scientific Discovery, Microsoft Research,” Microsoft Corporation, 2009. [7] Auto-ID Labs. http://www.autoidlabs.org/ [8] FCC OET Bulletins. http://www.fcc.gov/oet/info/documents/bulletins/ [9] EPC Global. http://www.epcglobalinc.org/ [10] NIST Computer Security Guideline Publications. http://csrc.nist.gov/publications/ [11] “Cisco Global Cloud Index: Forecast and Methodology, 2011-2016,” Cisco, Whitepaper, 2012. [12] D. Guinard, M. Mueller and J. Pasquier, “Giving RFID a REST: Building a Web-Enabled EPCIS,” Proceedings of the Internet of Things 2010 International Conference, Tokyo, November 2010. [13] “New Supply Chain Dynamic: Providing Actionable Data through Cloud-Based Services and Solutions,” RFID Journals, Whitepaper, February 2013. [14] D. P. Handler, J. Barbier and P. Schottmiller, “SMB Public Cloud Adoption: Opening a Hidden Market,” Cisco Internet Business Solutions Group (IBSG), 2012. [15] International Organization for Standardization. http://www.iso.org/ [16] S. Zhang, S. Zhang, X. Chen and X. Huo, “Cloud Computing Research and Development Trend,” Proceedings of the International Conference on Future Networks, 2010. [17] D. Guinard, C. Floerkemeier and S. Sarma, “Cloud Computing, REST and Mashups to Simplify RFID Application Development and Deployment,” Proceedings of the Second International Workshop on Web of Things, New York, 2011. http://dx.doi.org/10.1145/1993966.1993979 [18] A. A. S. Qureshi and S. M. K. Jamal, “Taxonomy Based Data Marts,” International Journal of Computer Application, 2012. [19] A. A. S. Qureshi and S. M. K. Jamal, “Web Supported Query Taxonomy Classifier,” International Journal of Computer Application, 2012.