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2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) (2010)
Atlanta, GA, USA
Apr. 19, 2010 to Apr. 23, 2010
ISBN: 978-1-4244-6533-0
pp: 1-8
Javier Alonso , Barcelona Supercomputing Center, Dept. of Computer Architecture, Technical University of Catalonia, Spain
Jordi Torres , Barcelona Supercomputing Center, Dept. of Computer Architecture, Technical University of Catalonia, Spain
Josep Ll. Berral , Dept. of Software, Dept. of Computer Architecture, Technical University of Catalonia, Barcelona, Spain
Ricard Gavalda , Dept. of Software, Technical University of Catalonia, Barcelona, Spain
ABSTRACT
Unplanned system outages have a negative impact on company revenues and image. While the last decades have seen a lot of efforts from industry and academia to avoid them, they still happen and their impact is increasing. According to many studies, one of the most important causes of these outages is software aging. Software aging phenomena refers to the accumulation of errors, usually provoking resource contention, during long running application executions, like web applications, which normally cause applications/systems hang or crash. Determining the software aging root cause failure, not the resource or resources involved in, is a huge task due to the growing day by day complexity of the systems. In this paper we present a monitoring framework based on Aspect Programming to monitor the resources used by every application component in runtime. Knowing the resources used by every component of the application we can determine which components are related to the software aging. Furthermore, we present a case study where we evaluate our approach to determine in a web application scenario, which components are involved in the software aging with promising results.
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CITATION

R. Gavalda, J. L. Berral, J. Alonso and J. Torres, "J2EE instrumentation for software aging root cause application component determination with AspectJ," 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), Atlanta, GA, USA, 2010, pp. 1-8.
doi:10.1109/IPDPSW.2010.5470857
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