Matthias Becker
ABSTRACT
To meet quality-of-service requirements in changing environments, modern software systems adapt themselves. The structure, and correspondingly the behavior, of these systems undergoes continuous change. Model-driven performance engineering, however, assumes static system structures, behavior, and deployment. Hence, self-adaptive systems pose new challenges to model-driven performance engineering. There are a few surveys on self-adaptive systems, performance engineering, and the combination of both in the literature. In contrast to existing work, here we focus on model-driven performance analysis approaches. Based on a systematic literature review, we present a classification, identify open issues, and outline further research.
- M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. A view of cloud computing. Commun. ACM, 53:50--58, Apr. 2010. Google Scholar
Digital Library
- S. Balsamo, A. Di Marco, P. Inverardi, and M. Simeoni. Model-based performance prediction in software development: a survey. IEEE Transactions on Software Engineering, 30(5):295--310, 2004. Google ScholarDigital Library
- S. Becker, H. Koziolek, and R. Reussner. The Palladio component model for model-driven performance prediction. Journal of Systems and Software, 82(1):3--22, 2009. Google ScholarDigital Library
- R. Calinescu, L. Grunske, M. Kwiatkowska, R. Mirandola, and G. Tamburrelli. Dynamic QoS Management and Optimization in Service-Based Systems. IEEE Trans. on Software Engineering, 37:387--409, 2011. Google ScholarDigital Library
- V. Cortellessa, A. Di Marco, and P. Inverardi. Model-Based Software Performance Analysis. Springer Berlin/Heidelberg, 2011. Google ScholarDigital Library
- A. Elkhodary, N. Esfahani, and S. Malek. Fusion: a framework for engineering self-tuning self-adaptive software systems. In Proceedings of the 18th FSE, FSE '10, pages 7--16, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- F. Fleurey and A. Solberg. A domain specific modeling language supporting specification, simulation and execution of dynamic adaptive systems. In Model Driven Engineering Languages and Systems, volume 5795 of LNCS, pages 606--621. Springer Berlin/Heidelberg, 2009. Google ScholarDigital Library
- V. Grassi, R. Mirandola, and E. Randazzo. Model-Driven Assessment of QoS-Aware Self-Adaptation. In Software Engineering for Self-Adaptive Systems, volume 5525 of LNCS, pages 201--222. Springer Berlin/Heidelberg, 2009. Google ScholarDigital Library
- V. Grassi, R. Mirandola, E. Randazzo, and A. Sabetta. KLAPER: An Intermediate Language for Model-Driven Predictive Analysis of Performance and Reliability. In The Common Component Modeling Example, volume 5153 of LNCS, pages 327--356. Springer Berlin/Heidelberg, 2008. Google ScholarDigital Library
- R. Hebig, H. Giese, and B. Becker. Making control loops explicit when architecting self-adaptive systems. In Proceeding of the 2nd SOAR, SOAR '10, pages 21--28, New York, NY, USA, 2010. ACM. Google ScholarDigital Library
- J. O. Kephart. Research challenges of autonomic computing. In Proceedings of the 27th ICSE, ICSE '05, pages 15--22, New York, NY, USA, 2005. ACM. Google ScholarDigital Library
- B. A. Kitchenham and S. Charters. Guidelines for performing Systematic Literature Reviews in Software Engineering, 2007.Google Scholar
- S. Kounev, F. Brosig, N. Huber, and R. Reussner. Towards self-aware performance and resource management in modern service-oriented systems. In SCC 2010, pages 621--624, 2010. Google ScholarDigital Library
- H. Koziolek. Performance evaluation of component-based software systems: A survey. Performance Evaluation, 67(8):634--658, 2010. Google ScholarDigital Library
- J. Kramer and J. Magee. Self-Managed systems: an architectural challenge. In 2007 Future of Software Engineering, pages 259--268. IEEE Computer Society, 2007. Google ScholarDigital Library
- M. Luckey, C. Gerth, C. Soltenborn, and G. Engels. QUAASY - QUality Assurance of Adaptive SYstems. In ICAC'11. ACM, 2011. Google ScholarDigital Library
- M. Luckey, B. Nagel, C. Gerth, and G. Engels. Adapt cases: extending use cases for adaptive systems. In Proceedings of the 6th SEAMS, SEAMS '11, pages 30--39, New York, NY, USA, 2011. ACM. Google ScholarDigital Library
- J. Meyer. Modellgetriebene Skalierbarkeitsanalyse von selbst-adaptiven komponentenbasierten Softwaresystemen in der Cloud. Master's thesis, University of Paderborn, Paderborn, 07.11.2011. http://www.cs.upb.de/?id=7752&expid=222&;t=12.Google Scholar
- R. Murch. Autonomic Computing. IBM Press, 2004. Google ScholarDigital Library
- N. A. Qureshi and A. Perini. Engineering adaptive requirements. In SEAMS, pages 126--131. IEEE, 2009. Google ScholarDigital Library
- M. Salehie and L. Tahvildari. Self-adaptive software: Landscape and research challenges. ACM Trans. Auton. Adapt. Syst., 4(2):14:1--14:42, May 2009. Google ScholarDigital Library
- T. Stahl, M. Voelter, and K. Czarnecki. Model-Driven Software Development: Technology, Engineering, Management. John Wiley & Sons, 2006. Google ScholarDigital Library
- X. Zhang and C.-H. Lung. Improving Software Performance and Reliability with an Architecture-Based Self-Adaptive Framework. In COMPSAC, 2010 IEEE 34th Annual, pages 72--81, 2010. Google ScholarDigital Library
Index Terms
- Model-driven performance engineering of self-adaptive systems: a survey
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