Abstract
There is considerable interest for electronic merchants with limited resources but a limitless ambition for profits, providing quality of service to customers in proportion to their buying potential or finds a legal way of maximizing their profits. The on-line customers always demand fast response and secure transactions, at the same time the electronic merchants are relentless in managing their finite resources to maximize their profits.
We propose a Genetic Algorithm(GA) based call admission control(CAC) scheme for all the customers of a vendor on the vendor’s VPN. The algorithm prioritizes the customers based on their past purchase history so that the vendors can select the genuine customer to boost their profits.
Customer Behavior Transition Diagram(CBTD) is used to compute the customer based priority of the vendor. Priorities keep changing dynamically as a function of the status of the customer based on the past purchase history at the e-commerce site. The designed method has been tested analytically and simulated in a real time Internet environment on an e-commerce site consisting of multiple servers distributed on LANs and WANs. This mechanism of admitting clients(customers) on requests among the servers(vendors) at the e-commerce site will improve its revenue at peak times. There is a fervent growth in the business through Internet. Virtual Private Network(VPN) is a must for virtual walk way to make it less vulnerable. Vendor controlled virtual path group(VPG) based VPN is adopted as an appropriate security policy on e-commerce by an architecture dedicated to host and serve the e-commerce site. The results are encouraging in admitting the potential customers and given the optimal service.
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© 2005 International Federation for Information Processing
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Kumar, G.N., Venkataram, P., Kumar, V.S.N. (2005). Admission Control for the Customers over the Vendor’s VPN. In: Funabashi, M., Grzech, A. (eds) Challenges of Expanding Internet: E-Commerce, E-Business, and E-Government. IFIP International Federation for Information Processing, vol 189. Springer, Boston, MA. https://doi.org/10.1007/0-387-29773-1_35
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DOI: https://doi.org/10.1007/0-387-29773-1_35
Publisher Name: Springer, Boston, MA
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