By Topic

Performance estimations of clustered workflow architectures

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)
Kwang-hoon Kim ; Dept. of Comput. Sci., Kyonggi Univ., South Korea ; Hyung-Jin Ahn ; Chang-Min Kim

In this paper, we are particularly concerned about issues of performance to see how well workflow enactment architecture is dealing with the large amount of workcases. Almost all of the traditional workflow management systems are based upon the client-server workflow enactment architecture that reveals a certain degree of limitation on the issues, such as performance and scalability. This paper presents a performance analysis model and its mathematical estimations for analyzing the performance aspect of the clustered workflow enactment architecture. We are expecting that the estimations should be helpful in the understanding of the spectrum of possibilities for large-scale workflow architectures and systems. In especially order to comparatively study the clustered workflow enactment architecture, we also analyze the performance of the client-server workflow architectures by using the same approach. Finally, we give a comparison result of performance estimations, and strongly believe that the result is going to be very useful understanding about designing and implementing workflow management systems aiming at the very large-scale workflow applications.

Published in:

Computer and Information Science, 2005. Fourth Annual ACIS International Conference on

Date of Conference:

2005