Modeling and Performability Evaluation of e-Commerce Systems

Hristoski, Ilija (2013) Modeling and Performability Evaluation of e-Commerce Systems. Doctoral thesis, Faculty of Economics - Prilep.

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The newly emerging, so-called ‘digital economy’, is entirely based on the e-Commerce paradigm. Assuring the high quality of its Web services, especially regarding the performance, dependability, reliability, and availability of eCommerce
systems, all unified under the notion of performability, has become an imperative of the contemporary way of doing business on the Internet, and also a fundamental factor for continuous achieving and retaining satisfaction of e-Customers. The complexity of this task is even bigger, knowing the fact that e-Commerce Web services rely on large-scale systems, consisting of thousands of computers, networks, software components, and users. Large systems are inherently complex, whilst the randomness and unpredictability in the way e-Customers demand
those Web services initiate the problem of managing and planning the capacity of their hardware resources. In fact, the true challenge is to achieve an optimal balance among
implementation investments and costs needed to continually upgrade and maintain a particular e-Commerce Web site, the performability of the underlying system, and achieved e-Customers’ satisfaction, regarding the delivered quality of Web services. During this research, a single fact becomes evident: besides the existence of a relatively big and ever-increasing number of e-Commerce systems worldwide, there is a considerably smaller number of research endeavors that are entirely and exclusively dedicated to modeling and evaluation of performability measures of such systems. In most cases, the existing research activities have been focused solely on the performance analysis of e-Commerce
systems, while dependability measures, encompassing the reliability and availability measures have been taken into account either separately and narrowly, or they have not been mentioned at all. Inspired by previously pointed facts, this research promotes a rather new, holistic approach, concentrated on the development of predictive models usable for evaluating numerous performability measures of generic e-Commerce systems, utilizing the formalism, the syntax and the semantic expressing power of the classes of Deterministic and Stochastic Petri Nets (DSPNs) and Generalized Stochastic Petri Nets (GSPNs), in conjunction with corresponding simulation models, built up for solving the underlying stochastic Petri models. Such an approach has been entirely based on the analysis of the dynamic and stochastic behavior of e-Customers during their online shopping sessions. As a direct consequence of such hybrid approach, the realization of more systematic, more
complex and more computationally efficient analyses have been made possible, covering all crucial aspects of the performability evaluation of present-day e-Commerce
systems, in a unique and consistent way. The originally proposed methodology, along with the obtained results, as well as the conclusions that have been drawn from, set up new frontiers in the sphere of capacity planning, and also give a considerable contribution to the field of performability evaluation of e-Commerce systems. As being the first attempt of this kind, this approach opens many
new possibilities and raises many new unanswered questions which impose the need for further and longterm exploration of not only e-Commerce systems and e-Customers’ online
shopping behavior, but also the tools and techniques for addressing the wide spectrum of issues related to performability modeling and evaluation of systems an e-Commerce paradigm relies on.

Item Type: Thesis (Doctoral)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Economics
Depositing User: Mr Dimitar Risteski
Date Deposited: 05 Feb 2020 12:16
Last Modified: 05 Feb 2020 12:16

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