Stochastic Modeling of e-Commerce Systems' Availability

Hristoski, Ilija and Mitrevski, Pece and Kotevski, Zoran (2014) Stochastic Modeling of e-Commerce Systems' Availability. In: International conference on Applied Internet and Information Technologies (AIIT2014), 24 October 2014, Zrenjanin, Serbia.

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Abstract

Abstract - Besides other relevant components encompassing the dependability aspects of contemporar -Commerce systems (reliability, maintainability, safety, security, etc.), availability has always been considered the most prominent one, having minded its direct impact on Internet companies' reputation and financial revenues. Being a synonym for a characteris of a resource/system that is committable, operable, or usable upon demand to perform its designated or required function, availability is the single crucial attribute of each e-Commerce system and a basic prerequisite that makes the huge difference between success and failure. In order to assure and maintain pertinent Quality-of-Service (QoS) levels of Web services being delivered online, including high availability, stochastic predictive models have to be developed and evaluated on a regular basis. The aim of the paper is to address the most significant aspects of stochastic modeling of e-Commerce systems' availability, using the class of Generalized Stochastic Petri Nets (GSPNs), as well as Continuous-Time Markov Chai (CTMCs), a class of stochastic processes underlying GSPNs. A few basi -Commerce system configurations have been modeled and analyzed in the case of a corrective maintenance. The current possible analysis methodologies that address the concept of availability have been discussed, and adequate software too been reviewed, as well.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Zoran Kotevski
Date Deposited:	16 May 2023 13:12
Last Modified:	16 May 2023 13:12
URI:	https://eprints.uklo.edu.mk/id/eprint/8338

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