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An efficient, low-cost inconsistency detection framework for data and service sharing in an Internet-scale system

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3 Author(s)
Yijun Lu ; Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE ; Hong Jiang ; Dan Feng

In this paper, we argue that a broad range of Internet-scale distributed applications can benefit from an underlying low-cost consistency detection framework that is an alternative to inconsistency avoidance and can detect inconsistency among nodes sharing data or services in a timely manner. This paper first presents an overview of the inconsistency detection framework. Then, it discusses the detailed design of the two-layer inconsistency detection module, the core component of this framework, which can detect inconsistency among nodes in a timely manner. The proposed two-layer inconsistency detection module is evaluated both analytically and via simulations, which shows that this module can significantly reduce the time to detect inconsistency among nodes without adding much maintenance cost. Finally, this paper outlines the possible mechanisms to discern the application semantics and to resolve the detected inconsistencies

Published in:

e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on

Date of Conference:

12-18 Oct. 2005

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