Modelling multi-tier enterprise applications behaviour with design of experiments technique
Author(s)
Ustinova, T
Jamshidi, P
Type
Conference Paper
Abstract
Queueing network models are commonly used for performance modelling. However, through application development stage analytical models might not be able to continuously reflect performance, for example due to performance bugs or minor changes in the application code that cannot be readily reflected in the queueing model. To cope with this problem, a measurement-based approach adopting Design of Experiments (DoE) technique is proposed. The applicability of the proposed method is demonstrated on a complex 3-tier e-commerce application that is difficult to model with queueing networks.
Date Issued
2015-09-01
Date Acceptance
2015-07-01
Citation
QUDOS 2015 Proceedings of the 1st International Workshop on Quality-Aware DevOps, 2015, pp.13-18
ISBN
978-1-4503-3817-2
Publisher
ACM
Start Page
13
End Page
18
Journal / Book Title
QUDOS 2015 Proceedings of the 1st International Workshop on Quality-Aware DevOps
Copyright Statement
© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in QUDOS 2015 Proceedings of the 1st International Workshop on Quality-Aware DevOps, http://doi.acm.org/10.1145/2804371.2804374
Source
QUDOS'15: 1st International Workshop on Quality-Aware DevOps
Publication Status
Published
Start Date
2015-09-01
Finish Date
2015-09-01
Coverage Spatial
Bergamo, Italy