Paper Info
Title
Automatic Performance Modelling from Application Performance Management (APM) Data: An Experience Report.
Abstract
Traditional testing approaches for enterprise systems are no longer possible, agile enough, affordable, or accurate in many cases. This is due to ongoing changes, reduced time between production updates and the inability to test all system components because of third party services and the expense of maintaining a test environment. One alternative approach has been to manually build predictive performance models to mitigate performance risk. Even this has become impractical and cannot keep pace with changes in complex enterprise systems. In response to these challenges we have developed a way to automatically build and parameterize performance models for large scale enterprise systems from Application Performance Management (APM) data. This industry experience report summaries our experiences with automatically building performance models for commercial customers over the last two years. For each project we summarize the problem context, the performance risks to be addressed, the automatic modelling process, the range in complexity of the resulting models, the accuracy of the predictions, and the benefits and limitations of the models in practice.
Year
DOI
Venue
2016
10.1145/2851553.2851560
ICPE
Keywords
Field
DocType
Modelling, measurement, performance, scalability, automatic, APM
Problem context,Enterprise system,Pace,Systems engineering,Application performance management,Third party,Agile software development,Control engineering,Risk analysis (engineering),Engineering,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4503-4080-9
3
0.43
References 
Authors
12
1
Name
Order
Citations
PageRank
Paul Brebner112816.84