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Automating the performance management of component-based enterprise systems through the use of redundancy

Published: 07 November 2005 Publication History

Abstract

Component technologies are increasingly being used for building enterprise systems, as they can address complex functionality and flexibility problems and reduce development and maintenance costs. Nonetheless, current component technologies provide little support for predicting and controlling the emerging performance of software systems that are assembled from distinct components.This paper presents a framework for automating the performance management of complex, component-based systems. The adopted approach is based on the alternate usage of multiple component variants with equivalent functional characteristics, each one optimized for a different running environment. A fully-automated framework prototype for J2EE is presented, along with results from managing a sample enterprise application on JBoss. A mechanism that uses monitoring data to learn and automatically improve the framework's management behaviour is proposed. The framework imposes no extra requirements on component providers, or on the component technologies.

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cover image ACM Conferences
ASE '05: Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering
November 2005
482 pages
ISBN:1581139934
DOI:10.1145/1101908
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 November 2005

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Author Tags

  1. J2EE
  2. autonomic management
  3. decision policies

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Cited By

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  • (2016)UML-Based Development of Embedded Real-Time Software on Multi-Core in Practice: Lessons Learned and Future PerspectivesIEEE Access10.1109/ACCESS.2016.26040184(6528-6540)Online publication date: 2016
  • (2015)Enhancing Model-Based Architecture Optimization with Monitored System RunsProceedings of the 2015 41st Euromicro Conference on Software Engineering and Advanced Applications10.1109/SEAA.2015.14(216-223)Online publication date: 26-Aug-2015
  • (2015)SMARTCoreProceedings of the 2015 12th International Conference on Information Technology - New Generations10.1109/ITNG.2015.20(89-94)Online publication date: 13-Apr-2015
  • (2014)Stateful component-based performance modelsSoftware and Systems Modeling (SoSyM)10.1007/s10270-013-0336-613:4(1319-1343)Online publication date: 1-Oct-2014
  • (2013)An automated round-trip support towards deployment assessment in component-based embedded systemsProceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering10.1145/2465449.2465450(179-188)Online publication date: 17-Jun-2013
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  • (2010)State dependence in performance evaluation of component-based software systemsProceedings of the first joint WOSP/SIPEW international conference on Performance engineering10.1145/1712605.1712613(37-48)Online publication date: 28-Jan-2010
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  • (2009)An adaptation framework enabling resource-efficient operation of software systemsProceedings of the Warm Up Workshop for ACM/IEEE ICSE 201010.1145/1527033.1527047(41-44)Online publication date: 1-Apr-2009
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