TY  - JOUR
VL  - 96
A1  - Hasan, M.H.
A1  - Akhir, E.A.P.
A1  - Aziz, N.A.
A1  - Aziz, I.A.
A1  - Jaafar, J.
JF  - Journal of Theoretical and Applied Information Technology
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042373146&partnerID=40&md5=4b383634f565ef5cfcd8ebc7cba63cc1
Y1  - 2018///
ID  - scholars10505
N2  - 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 â?? ongoing JATIT & LLS.
IS  - 3
EP  - 731
PB  - Little Lion Scientific
SN  - 19928645
TI  - An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models
SP  - 722
N1  - cited By 0
AV  - none
ER  -