%0 Book Section %1 walkowiak2012fuzzy %A Walkowiak, Tomasz %A Mazurkiewicz, Jacek %A Nowak, Katarzyna %B Artificial Intelligence and Soft Computing %D 2012 %E Rutkowski, Leszek %E Korytkowski, Marcin %E Scherer, Rafał %E Tadeusiewicz, Ryszard %E Zadeh, LotfiA. %E Zurada, JacekM. %I Springer Berlin Heidelberg %K availability fuzzy %P 616-624 %R 10.1007/978-3-642-29350-4_73 %T Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation %U http://dx.doi.org/10.1007/978-3-642-29350-4_73 %V 7268 %X The paper describes the availability analysis of Web systems. The analysed systems are modelled as a set of tasks that use data, obtained in an interaction with other tasks, to produce responses. System is reliable - we do not discuss the failure and repair process of the elements. We realise the functional analysis of a Web system measured by a functional availability, i.e. the probability that a client will receive a correct response within a given time limit. The metric is calculated by simulation software developed by authors and based on the Monte-Carlo technique. We model the input load by fuzzy numbers and receive a fuzzy representation of the Web system availability changes during a day. Simulation results of for a testbed system are given. %@ 978-3-642-29349-8

@incollection{walkowiak2012fuzzy, abstract = {The paper describes the availability analysis of Web systems. The analysed systems are modelled as a set of tasks that use data, obtained in an interaction with other tasks, to produce responses. System is reliable - we do not discuss the failure and repair process of the elements. We realise the functional analysis of a Web system measured by a functional availability, i.e. the probability that a client will receive a correct response within a given time limit. The metric is calculated by simulation software developed by authors and based on the Monte-Carlo technique. We model the input load by fuzzy numbers and receive a fuzzy representation of the Web system availability changes during a day. Simulation results of for a testbed system are given.}, added-at = {2014-08-21T15:16:53.000+0200}, author = {Walkowiak, Tomasz and Mazurkiewicz, Jacek and Nowak, Katarzyna}, biburl = {https://www.bibsonomy.org/bibtex/2342725e07c7fffd60d6b45f550f314f1/avail_map_stud}, booktitle = {Artificial Intelligence and Soft Computing}, description = {Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation - Springer}, doi = {10.1007/978-3-642-29350-4_73}, editor = {Rutkowski, Leszek and Korytkowski, Marcin and Scherer, Rafał and Tadeusiewicz, Ryszard and Zadeh, LotfiA. and Zurada, JacekM.}, interhash = {4d5010ec47d01e164784a405c151739c}, intrahash = {342725e07c7fffd60d6b45f550f314f1}, isbn = {978-3-642-29349-8}, keywords = {availability fuzzy}, language = {English}, pages = {616-624}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-08-21T15:16:53.000+0200}, title = {Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation}, url = {http://dx.doi.org/10.1007/978-3-642-29350-4_73}, volume = 7268, year = 2012 }