Title | ||
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A framework for efficient inconsistency detection in a grid and Internet-scale distributed environment |
Abstract | ||
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In this paper, we argue that a broad range of Internet-scale distributed applications can benefit from an underlying low-cost consistency detection framework - an alternative to inconsistency avoidance that can detect inconsistency among nodes sharing data or services in a timely manner. After introducing a framework of inconsistency detection, this paper presents the design and evaluation of a two-layer inconsistency detection module. The proposed two-layer inconsistency detection module is evaluated by both analysis and simulations. The results show that this framework can significantly reduce the time to detect inconsistency among nodes without adding much maintenance cost. |
Year | DOI | Venue |
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2005 | 10.1109/HPDC.2005.1520993 | HPDC |
Keywords | Field | DocType |
efficient inconsistency detection,inconsistency detection,internet-scale distributed environment,node inconsistency,grid computing,timely manner,two-layer inconsistency detection module,underlying low-cost consistency detection,software maintenance,broad range,internet,grid environment,program diagnostics,maintenance cost,proposed two-layer inconsistency detection,low-cost consistency detection,data sharing,data engineering,detectors,distributed application,history,temperature,application software,computer science,distributed environment,protocols | Data mining,Grid computing,Distributed Computing Environment,Computer science,Data sharing,Information engineering,Software maintenance,Application software,Grid,Distributed computing,The Internet | Conference |
ISSN | ISBN | Citations |
1082-8907 | 0-7803-9037-7 | 3 |
PageRank | References | Authors |
0.42 | 2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yijun Lu | 1 | 16 | 4.51 |
Hong Jiang | 2 | 2137 | 157.96 |