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Are your sites down? Requirements-driven self-tuning for the survivability of web systems

Chen, Bihuan; Peng, Xin; Yu, Yijun and Zhao, Wenyun (2011). Are your sites down? Requirements-driven self-tuning for the survivability of web systems. In: 19th International Conference on Requirements Engineering, 29 Aug - 2 Sep 2011, Trento, Italy.

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Running in a highly uncertain and greatly complex environment, Web systems cannot always provide full set of services with optimal quality, especially when work loads are high or subsystem failures are frequent. Hence, it is significant to continuously maintain a high satisfaction level of survivability, hereafter survivability assurance, while relaxing or sacrificing certain quality or functional requirements that are not crucial to the survival of the entire system. After giving a value-based interpretation to survivability assurance to facilitate a quantitative analysis, we propose a requirements-driven self-tuning method for the survivability assurance of Web systems. Maintaining an enriched and live goal model, our method adapts to runtime tradeoff decisions made by our PID (propor-tional-integral-derivative) controller and goal-oriented reasoner for both quality and functional requirements. The goal-based configuration plans produced by the reasoner is carried out on the live goal model, and then mapped into system architectural configurations. Experiments on an online shopping system are conducted to validate the effectiveness of the proposed method.

Item Type: Conference or Workshop Item
Copyright Holders: 2011 IEEE
Project Funding Details:
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Extra Information: Pages 219-228 in published proceedings
This paper is an extended version of our poster paper (B. Chen, X. Peng, Y. Yu, and W. Zhao, “Survivability-oriented selftuning of Web systems,” in WWW, 2011, pp. 23-24.) that briefly presents the motivation and overview of our method.
Keywords: self-tuning; survivability; web engineering; requirements engineering; goals; automated software engineering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 29060
Depositing User: Yijun Yu
Date Deposited: 06 Jul 2011 09:58
Last Modified: 07 Dec 2018 20:22
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