Abstract
Self-adaptation is now a promising approach to maximize the satisfaction of requirements under changing environmental conditions. One of the key challenges for such self-adaptive systems is to automatically find a relevant architectural configuration. Existing approaches requires a set of adaptation strategies and the rough estimation of their side-effects. However, due to the lack of validation methods for such strategies and side-effects, existing approaches may lead to erroneous adaptations. Instead of side-effects, our solution leverages quality contracts whose accuracy can be separately established and which can be dynamically composed to get a quality prediction of any possible architectural configurations. To support self-adaptation, we propose a reactive planning algorithm which exploits quality contracts to dynamically discover unforeseen architectural configurations. We illustrate our approach using a running HTTP server adapting its architecture with respect to the number and the similarity of incoming requests.
This work is partially sponsored by the National Key Basic Research and Development Program of China under Grant No. 2009CB320703; the National Natural Science Foundation of China under Grant No. 60821003, 60873060; the High-Tech Research and Development Program of China under Grant No. 2009AA01Z16; and the EU FP7 under Grant No. 231167.
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References
Batista, T., Joolia, A., Coulson, G.: Managing Dynamic Reconfiguration in Component-Based Systems. In: Morrison, R., Oquendo, F. (eds.) EWSA 2005. LNCS, vol. 3527, pp. 1–17. Springer, Heidelberg (2005)
Bencomo, N., Grace, P., Flores, C., Hughes, D., Blair, G.: Genie: Supporting the Model Driven Development of Reflective, Component-based Adaptive Systems. In: ICSE: Proceedings of the 30th international conference on Software engineering, pp. 811–814. ACM Press, New York (2008)
Beugnard, A., Jezequel, J., Plouzeau, N., Watkins, D.: Making components contract aware. Computer 32(7), 38–45 (1999)
Bruneton, E., Coupaye, T., Leclercq, M., Quema, V., Stefani, J.: The Fractal Component Model and its Support in Java. Software Practice and Experience, special issue on Experiences with Auto-adaptive and Reconfigurable Systems 36(11-12), 1257–1284 (2006)
Caporuscio, M., Di Marco, A., Inverardi, P.: Model-based System Reconfiguration for Dynamic Performance Management. Journal of Systems and Software 80(4), 455–473 (2007); Software Performance, 5th International Workshop on Software and Performance
Cheng, B.H.C., de Lemos, R., Giese, H., Inverardi, P., Magee, J.: Software Engineering for Self-Adaptive Systems: A Research Roadmap. In: Cheng, B.H., de Lemos, R. (eds.) Software Engineering for Self-Adaptive Systems. LNCS, vol. 5525, pp. 1–26. Springer, Heidelberg (2009)
Cheng, S., Garlan, D., Schmerl, B.: Architecture-based Self-Adaptation in the Presence of Multiple Objectives. In: Proceedings of the Intl. Workshop on Self-Adaptation and Self-Managing Systems, pp. 2–8. ACM Press, New York (2006)
Firus, V., Becker, S., Happe, J.: Parametric Performance Contracts for QML-specified Software Components. In: Proceedings of the 2nd Int. Workshop on Formal Foundations of Embedded Software and Component-based Software Architectures (FESCA 2005), vol. 141, pp. 73–90 (2005)
Fleurey, F., Solberg, A.: A Domain Specific Modeling Language Supporting Specification, Simulation and Execution of Dynamic Adaptive Systems. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 606–621. Springer, Heidelberg (2009)
Floch, J., Hallsteinsen, S., Stav, E., Eliassen, F., Lund, K., Gjorven, E.: Using Architecture Models for Runtime Adaptability. IEEE Software 23(2), 62–70 (2006)
Garlan, D., Cheng, S., Huang, A., Schmerl, B., Steenkiste, P.: Rainbow: Architecture-based Self-Adaptation with Reusable Infrastructure. Computer 37(10), 46–54 (2004)
Harary, F., Palmer, E.: Graphical Enumeration. Academic Press, London (1973)
Heaven, W., Sykes, D., Magee, J., Kramer, J.: A Case Study in Goal-Driven Architectural Adaptation. In: Goos, G., Hartmanis, J., Leeuwen, J.V. (eds.) Software Engineering for Self-Adaptive Systems. LNCS, vol. 5525, p. 127. Springer, Heidelberg (2009)
Mei, H., Huang, G., Lan, L., Li, J.G.: A Software Architecture Centric Self-Adaptation Approach for Internetware. Science in China, Series F: Information Sciences 51(6), 722–742 (2008)
Morin, B., Barais, O., Nain, G., Jézéquel, J.M.: Taming Dynamically Adaptive Systems using Models and Aspects. In: ICSE: 31st Intl. Conference on Software Engineering, pp. 122–132. IEEE, Los Alamitos (May 2009)
OMG: OMG Unified Modeling Language (OMG UML), Superstructure, V2.1.2. OMG Available Specification (ptc/03-08-02), Object Management Group (November 2007)
Oreizy, P., Gorlick, M., Taylor, R., Heimhigner, D., Johnson, G., Medvidovic, N., Quilici, A., Rosenblum, D., Wolf, A.: An Architecture-Based Approach to Self-Adaptive Software. IEEE Intelligent Systems and Their Applications 14(3), 54–62 (1999)
Ramirez, A.J., Knoester, D.B., Cheng, B.H., McKinley, P.K.: Applying Genetic Algorithms to Decision Making in Autonomic Computing Systems. In: Proceedings of the 6th intl. conference on Autonomic Computing (ICAC 2009), pp. 97–106. ACM, New York (2009)
Song, H., Xiong, Y., Chauvel, F., Huang, G., Hu, Z., Mei, H.: Generating Synchronization Engines between Running Systems and Their Model-Based Views. In: Bencomo, N., Blair, G., France, R. (eds.) MRT 2009: Proceedings of the Workshop on Models at Runtime 2009. Springer, Heidelberg (2009) (to be published)
Sykes, D., Heaven, W., Magee, J., Kramer, J.: From goals to components: a combined approach to self-management. In: SEAMS 2008: Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems, pp. 1–8. ACM, New York (2008)
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Chauvel, F., Song, H., Chen, X., Huang, G., Mei, H. (2010). Using QoS-Contracts to Drive Architecture-Centric Self-adaptation. In: Heineman, G.T., Kofron, J., Plasil, F. (eds) Research into Practice – Reality and Gaps. QoSA 2010. Lecture Notes in Computer Science, vol 6093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13821-8_9
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DOI: https://doi.org/10.1007/978-3-642-13821-8_9
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