Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set

Author(s):  
Farrukh Nadeem ◽  
Muhammad Yousaf ◽  
Radu Prodan ◽  
Thomas Fahringer
Author(s):  
Dušan Okanović ◽  
Milan Vidaković ◽  
Zora Konjović

This paper presents one solution for continuous monitoring of JEE application. In order to reduce overhead, Kieker monitoring framework was used. This paper presents the architecture and basic functionality of the Kieker framework and how it can be extended for adaptive monitoring of JEE applications. Collected data was used for analysis of application performance. In order to predict application performance, regression analysis was employed.


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