Performance analysis of GRID middleware using process mining
Date Issued
2008-06-23
Author(s)
Misev, Anastas
Atanassov, Emanouil
Abstract
Performance analysis of the GRID middleware used in a production
setting can give valuable information to both GRID users and developers. A
new approach to this issue is to use the process mining techniques. Analyzing
logs of the middleware activities, performed on the SEE-GRID pilot production
Grid infrastructure, objective qualitative and quantitative information on what
actually happens can be obtained. Using the appropriate tools like ProM to
apply the process mining algorithms, many interesting findings and conclusions
can be drawn. In this paper we describe our approach and show some of our
conclusions.
setting can give valuable information to both GRID users and developers. A
new approach to this issue is to use the process mining techniques. Analyzing
logs of the middleware activities, performed on the SEE-GRID pilot production
Grid infrastructure, objective qualitative and quantitative information on what
actually happens can be obtained. Using the appropriate tools like ProM to
apply the process mining algorithms, many interesting findings and conclusions
can be drawn. In this paper we describe our approach and show some of our
conclusions.
Subjects
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