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e-Surgeon: Diagnosing Energy Leaks of Application Servers

Abstract : GreenIT has emerged as a discipline concerned with the optimization of software solutions with regards to energy consumption. In this domain, most of the state-of-the-art solutions concentrate on coarse-grained approaches to monitor the energy consumption of a device or a process. However, none of the existing solutions addresses in-process energy monitoring to provide in-depth analysis of a process energy consumption. In this paper, we therefore report on a fine-grained real-time energy monitoring framework we developed to diagnose energy leaks with a better accuracy than the state-of-the-art. Concretely, our approach adopts a 2-layer architecture including OS-level and process-level energy monitoring. OS-level energy monitoring estimates the energy consumption of processes according to different hardware devices (CPU, network, memory). Process-level energy monitoring focuses on Java-based applications and builds on OS-level energy monitoring to provide an estimation of energy consumption at the granularity of classes and methods. We argue that this per-method analysis of energy consumption provides better insights to the application in order to identify potential energy leaks. In particular, our preliminary validation demonstrates that we can diagnose energy hotspots of Jetty application servers and monitor their variations when stressing web applications.
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Contributor : Lionel Seinturier Connect in order to contact the contributor
Submitted on : Tuesday, December 20, 2011 - 11:34:59 AM
Last modification on : Friday, February 4, 2022 - 3:17:41 AM
Long-term archiving on: : Thursday, March 30, 2017 - 9:02:20 PM


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  • HAL Id : hal-00652992, version 2



Adel Noureddine, Aurélien Bourdon, Romain Rouvoy, Lionel Seinturier. e-Surgeon: Diagnosing Energy Leaks of Application Servers. [Technical Report] RR-7846, INRIA. 2012. ⟨hal-00652992v2⟩



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