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Guiding Personal Choices in a Quality Contracts Driven Query Economy

DocUID: 2009-023 Full Text: PDF

Author: Huiming Qu, Jie Xu, Alexandros Labrinidis

Abstract: The emergence of Web 2.0 has brought upon a plethora of database-driven web applications and services where both Quality of Service (QoS) and Quality of Data (QoD) are of paramount importance to end users. In our previous work, we have proposed Quality Contracts, a comprehensive framework for specifying multiple dimensions of QoS/QoD; we have also developed algorithms to maximize overall system performance under Quality Contracts. In this work, we turn our attention to the user side of the equation, on how to choose and adapt Quality Contracts to better serve users' needs in the presence of other users, who are competing for the same resources, in a virtual ``economy'' of Quality Contracts at the server. Towards this, we propose the Adaptive Quality Contract (AQC) scheme to maximize the success ratio of user queries. AQC switches between its Overbid (aggressive) mode and Deposit (conservative) mode, to allow users to survive through economic downturns and upturns. Extensive experiments with real traces show that our proposed scheme outperforms other competing schemes, under a variety of environments and a spectrum of workloads.

Published In: Proc of Third International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases

Place Published: Lyon, France

Year Published: 2009

Note: held in conjunction with the VLDB 2009 conference

Project: UserCentric Subject Area: Web Databases

Publication Type: Workshop Paper

Sponsor: NSF CAREER IIS-0746696

Citation:Text Latex BibTex XML Huming Qu, Jie Xu, and Alexandros Labrinidis. Guiding Personal Choices in a Quality Contracts Driven Query Economy, Proc of Third International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB'09), Lyon, France, August 2009.(held in conjunction with the VLDB 2009 conference)