Fuzzy quality analysis of web services implemented in virtualised environment

• Autorzy: Walkowiak T.
• Języki publikacji: EN

Abstrakty

EN

The paper describes the quality analysis of web services implemented in virtualised environment. It takes into account the reliability and performance aspects of software and hardware elements of the web service. The presented state-transitional model considers the reconfiguration process to maintain the continuity of business services. The reconfiguration is based in on the redeployment of virtual machines so for some time the system operates in a degraded state. Author propose two quality measures based on the web service availability and maximum handled requests calculated at each of degradation levels. Moreover, authors proposed to model the web service reliability parameters by fuzzy numbers. A method for calculating fuzzy membership functions of quality measures are also presented.

Słowa kluczowe

EN

virtualization; web service; quality; availability; state-transitional model; fuzzy number

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2015
• Tom: Vol. 6, No. 2
• Strony: 147--152
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr.

Twórcy

autor

Walkowiak T.

• Wroclaw University of Technology, Wroclaw, Poland

Bibliografia

• [1] Barlow, R. & Proschan, F. (1996). Mathematical Theory of Reliability. Society for Industrial and Applied Mathematics, Philadelphia.
• [2] Cinlar, E. (1975). Introduction to stochastic processes. Englewood Cliffs, New York.
• [3] Gao, S., Zhang, Z., & Cao, C. (2009). Multiplication Operation on Fuzzy Numbers. Journal of Software, 4(4) 331-338.
• [4] Goseva-Popstojanova, Popstojanova, K., Singh, A. D., Mazimdar, S. & Li, F. (2006). Empirical characterization of session-based session workload and reliability for Web servers. Empirical Software Engineering. 11, 1, 71-117. 117.
• [5] Grabski, F. (2003). The reliability of the object with semi-Markov Markov failure rate. Applied Mathematics and Computation. Computation 135, 1-16.
• [6] Hoopes, J. (2008). Virtualization for security: including sandboxing, disaster recovery, high availability. Waltham: Syngress. Syng
• [7] Nielsen, J. (1994). Usability Engineering. Engineering Morgan Kaufmann, San Francisco.
• [8] Portnoy, M. (2012). Virtualization Essentials. Essentials Indianapolis: Sybex.
• [9] Smith, J. E. & Nair, R. (2005). The Architecture of Virtual Machines. In: Computer 5, 38. 32-38.
• [10] Walkowiak, T. (2014). Simulation based availability assessment of services provided by web applications with realistic repair time. Eksploatacja i Niezawodność – Maintenance and Reliability. 16, 2, 341-346.
• [11] Walkowiak, T. (2014). Weekly availability changes of web applications implemented in virtualized environment. Nowakowski, T. et al. Safety and Reliability: Methodology and Applications, CRC Press.
• [12] Walkowiak, T. & Caban, D. (2014). The impact of reconfiguration time on the dependability of complex web based ed systems. Proc. of the Ninth International Conference on Dependability and Complex Systems DepCoS DepCoS-RELCOMEX. 477-488.
• [13] Walkowiak, T., Mazurkiewicz, J. & Nowak, K. (2012). Fuzzy Availability Analysis of Web Systems by Monte-Carlo Carlo Simulation. Lecture Notes in n Computer Science. Science 7268, 616-624.
• [14] Yager, R. R. (1986). A characterization of the extension principle. In: Fuzzy Sets Syst., Syst. 18, 205- 217.