Semantic Web Dog Food

Presented at: 20th International World Wide Web Conference (WWW2011)

by Bihuan Chen, Xin Peng, Yijun Yu, Wenyun Zhao

Running in a highly uncertain and changing environment, Web systems cannot always provide full set of services with optim¨al quality, especially when the workload is high or failures in subsys-tems occur frequently. It is thus desirable to continuously maintain a high satisfaction level of the system value proposition, hereafter survivability assurance, while relaxing/sacrificing certain quality/functional requirements that are not crucial to the survival of the Web systems. In this paper, we propose a requirements-driven self-tuning method for survivability assurance of Web systems. Using a value-based feedback controller plus a requirements-oriented reasoner, our method makes both quality and functional requirements tradeoffs decisions at runtime.

Survivability-Oriented Self-Tuning of Web Systems was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/poster/survivability-oriented-self-tuning-of-web-systems

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