DocumentCode :
2697866
Title :
An efficient, low-cost inconsistency detection framework for data and service sharing in an Internet-scale system
Author :
Lu, Yijun ; Jiang, Hong ; Feng, Dan
Author_Institution :
Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE
fYear :
2005
fDate :
12-18 Oct. 2005
Firstpage :
373
Lastpage :
380
Abstract :
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
Keywords :
Internet; data integrity; Internet-scale distributed applications; data sharing; low-cost inconsistency detection framework; service sharing; two-layer inconsistency detection module design; Analytical models; Application software; Availability; Computer science; Control systems; Costs; Data engineering; Large-scale systems; Protocols; Web and internet services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2430-3
Type :
conf
DOI :
10.1109/ICEBE.2005.26
Filename :
1552920
Link To Document :
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