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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS) EBSCO, Google Scholar, Ulrich Periodicals Directory, Crossref, ProQuest, Index CopernicusEI (INSPEC, IET).
    • E-mail: ijet@vip.163.com
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2010 Vol.2(3): 232-237 ISSN: 1793-8236
DOI: 10.7763/IJET.2010.V2.126

Electronic Commerce Network Modeling of Randomly Broken Multi-channel Servers with Human Factor

Song-Kyoo Kim

Abstract—The electronic commerce (e-commerce) has been a big issue not only in the technology but also in the business. This paper presents the stochastic management methodology to determine the decision points in the electronic commerce setting that focused on network management methodologies. The unreliable network architecture is considered with human behaviors. This network architecture falls into the category of multi-channel queues with unreliable repair facilities and be more realistic than basic model. The (or shopping time human factor) that spent by the customer who wants to buy something online is considered. Analytic tractable results are obtained by using various mathematical techniques and demonstrated in the framework of optimized network server allocation with human factor in e-commerce ecosystem.

Song Kyoo Kim (amang.kim@samsung.com) is the technical manager atmobile communication division in Samsung Electronics.(t:+82-54-479-3970; f:+82-54-479-5922; a: 94-1 Imsoo-Dong, Gumi, Kyungpook 730-350, South Korea)


Cite: Song-Kyoo Kim, "Electronic Commerce Network Modeling of Randomly Broken Multi-channel Servers with Human Factor," International Journal of Engineering and Technology vol. 2, no. 3, pp. 232-237, 2010.

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