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 (email@example.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.