Applying fuzzy differential equations to the performance analysis of service composition

Authors:
Zuohua Ding;Hui Shen
Affiliations:
Center of Math Computing and Software Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China;Center of Math Computing and Software Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

Citing 4
Cited 0

Fuzzy differential equations

Fuzzy Sets and Systems - Fuzzy Numbers
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations

Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Comparation between some approaches to solve fuzzy differential equations

Fuzzy Sets and Systems
Modeling and performance analysis using extended fuzzy-timing Petrinets for networked virtual environments

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new method is proposed to measure the performance of service composition. Due to the nondeterministic response in the Internet, we model service composition by a group of fuzzy differential equations, where each equation describes the state change of the service composition. By using RKF method, approximate reasoning rules, and fuzzy simulation principle, we obtain the the numerical solutions. Our performance analysis is based on the solutions of the these equations. Three measure indexes have been considered: response time, throughput and resource utilization rate. A case study demonstrates the advantages.