posted on 2014-07-23, 09:10authored byShadi Ghaith, Miao Wang, Philip Perry, Liam Murphy
Using modelling to predict the performance characteristics
of software applications typically uses Queueing Network
Models representing the various system hardware resources.
Leaving out the software resources, such as the limited number of threads, in such models leads to a reduced prediction
accuracy. Accounting for Software Contention is a challenging task as existing techniques to model software components are complex and require deep knowledge of the software architecture. Furthermore, they also require complex
measurement processes to obtain the model's service demands. In addition, solving the resultant model usually
require simulation solvers which are often time consuming.
In this work, we aim to provide a simpler model for three-
tier web software systems which accounts for Software Contention that can be solved by time e cient analytical solvers.
We achieve this by expanding the existing \Two-Level Iterative Queuing Modelling of Software Contention" method to
handle the number of threads at the Application Server tier
and the number of Data Sources at the Database Server tier.
This is done in a generic manner to allow for extending the
solution to other software components like memory and crit-
ical sections. Initial results show that our technique clearly
outperforms existing techniques.
History
Publication
ICPE '14 Proceedings of the 5th ACM/SPEC international conference on Performance engineering;pp. 273-276