By Topic

Performance Analysis of Service Composition Based on Fuzzy Differential Equations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zuohua Ding ; Center of Math Comput. & Software Eng., Zhejiang Sci-Tech Univ., Hangzhou, China ; Hui Shen ; Kandel, A.

In this paper, a new method is proposed to measure the performance of service composition. Service composition described with Business Process Execution Language (BPEL) is modeled by a group of fuzzy differential equations, where each equation describes the state change of the service composition. Each service state is measured by a time-dependent fuzzy number that indicates the extent to which the state can be reached in execution. This information of measure can help us to conduct performance analysis, such as estimating response time, throughput, efficiency, and maximum load. This method has the following advantages: 1) It can handle fuzziness such as nondeterministic response time; 2) it treats the system as a box and displays a global picture of execution states to the users so that users know exactly where to improve the performance; 3) it can entirely avoid the state explosion problem, which may be hit by the existing performance analysis methods. A case study demonstrates the advantages of our method.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:19 ,  Issue: 1 )