An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models
Quality of web service (QoWS) monitoring is an important component in web service as it evaluates web service delivery performance and detects problems. Our previous work proposed a fuzzy model for QoWS monitoring due to uncertain nature of web service environment. However, fuzzy models are computat...
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my.utp.eprints.217612018-08-01T02:04:57Z An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models Hasan, M.H. Akhir, E.A.P. Aziz, N.A. Aziz, I.A. Jaafar, J. Quality of web service (QoWS) monitoring is an important component in web service as it evaluates web service delivery performance and detects problems. Our previous work proposed a fuzzy model for QoWS monitoring due to uncertain nature of web service environment. However, fuzzy models are computationally costly. In this work, we propose a parallelization implementation of the models. The objective of this paper is to compare the performance between Mamdani- and Sugeno-based fuzzy inference systems (FIS) when they are applied to the QoWS monitoring models. The results suggested that Sugeno models produced less processing time than that of Mamdani models. However, Mamdani models benefited from parallelization more than that of Sugeno models by recoding higher percentage of improvement in terms of average processing time. This work will be expanded to investigate the implementation of the models in cluster computers and using a higher type of fuzzy logic, namely interval type-2 fuzzy. © 2005 � ongoing JATIT & LLS. Little Lion Scientific 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042373146&partnerID=40&md5=4b383634f565ef5cfcd8ebc7cba63cc1 Hasan, M.H. and Akhir, E.A.P. and Aziz, N.A. and Aziz, I.A. and Jaafar, J. (2018) An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models. Journal of Theoretical and Applied Information Technology, 96 (3). pp. 722-731. http://eprints.utp.edu.my/21761/ |
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Quality of web service (QoWS) monitoring is an important component in web service as it evaluates web service delivery performance and detects problems. Our previous work proposed a fuzzy model for QoWS monitoring due to uncertain nature of web service environment. However, fuzzy models are computationally costly. In this work, we propose a parallelization implementation of the models. The objective of this paper is to compare the performance between Mamdani- and Sugeno-based fuzzy inference systems (FIS) when they are applied to the QoWS monitoring models. The results suggested that Sugeno models produced less processing time than that of Mamdani models. However, Mamdani models benefited from parallelization more than that of Sugeno models by recoding higher percentage of improvement in terms of average processing time. This work will be expanded to investigate the implementation of the models in cluster computers and using a higher type of fuzzy logic, namely interval type-2 fuzzy. © 2005 � ongoing JATIT & LLS. |
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Hasan, M.H. Akhir, E.A.P. Aziz, N.A. Aziz, I.A. Jaafar, J. |
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Hasan, M.H. Akhir, E.A.P. Aziz, N.A. Aziz, I.A. Jaafar, J. An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
author_facet |
Hasan, M.H. Akhir, E.A.P. Aziz, N.A. Aziz, I.A. Jaafar, J. |
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Hasan, M.H. |
title |
An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
title_short |
An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
title_full |
An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
title_fullStr |
An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
title_full_unstemmed |
An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
title_sort |
analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models |
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Little Lion Scientific |
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2018 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042373146&partnerID=40&md5=4b383634f565ef5cfcd8ebc7cba63cc1 http://eprints.utp.edu.my/21761/ |
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