On Stochastic Modeling and Performance Analysis of E-Customerв's Online Behavior

Hristoski, Ilija and Mitrevski, Pece (2012) On Stochastic Modeling and Performance Analysis of E-Customerв's Online Behavior. In: Proceedings of the Nineth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 74-78. ISBN 978-608-4699-01-9


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The contemporary ways of doing businesses within the global economic environment, relaying massively on e -Commerce and e-Business paradigms, have resulted in the appearance of a brand new type of vi rtual customers, new Web-based trading and shopping tools and media, as well as a plethora of novel human skills, knowledge, behaviour, and interactions. As volume of online transactions increases significantly on a daily basis, resulting in higher workloads, the question of assuring pertinent levels of Quality of Service (QoS) becomes an imperative for the Web sites run ning e-Commerce applications. The continually increasing demands for building and maintaining suitable IT infrastructure have led to the necessity of building adequate predictive models in order future load levels to be foreseen. Within the paper the focus has been put on modelling e-Customer's online behaviour, as being a promising basis for carrying out performance analysis and evaluation needed for the cap acity planning process. In addition, it will be shown that an e-Customer's online interaction can be see n as a st ochastic process, whose modelling and solving approach anticipates the use of Stochastic Petri Nets (SPNs). Th e paper also highlights a number of key elements regarding the employment of the class of Deterministic and Stochastic Petri Nets (DSPNs) for modelling the stochastic behaviour, i.e. th e interaction between e-Customer and e-C ommerce Web site, based u pon the use of a co rresponding Customer Behaviour Modelling Graph (CBMG). The framework being proposed represents a solid basis for obtaining relevant performance indicators, still remaining a platform for further research in this area.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > eWorld - eWork, eCommerce, eBusiness, eLearning
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11128

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