DocumentCode :
3453275
Title :
A slacker coherence protocol for pull-based monitoring of on-line data sources
Author :
Sundaresan, R. ; Kurc, Tahsin ; Lauria, Massimo ; Parthasarathy, Srinivasan ; Saltz, J.
Author_Institution :
Dept. of Comput. & Inf. Sci., The Ohio State Univ., Columbus, OH, USA
fYear :
2003
fDate :
12-15 May 2003
Firstpage :
250
Lastpage :
257
Abstract :
An increasing number of online applications operate on data from disparate, and often wide-spread, data sources. This paper studies the design of a system for the automated monitoring of on-line data sources. In this system a number of ad-hoc data warehouses, which maintain client-specified views, are interposed between clients and data sources. We present a model of coherence, referred to here as slacker coherence, to address the freshness problem in the context of pull-based protocols. We experimentally examine various techniques for estimating update rates and polling adaptively. We also look at the impact on the coherence model performance of the request scheduling algorithm at the source.
Keywords :
Internet; data warehouses; distributed databases; grid computing; ad-hoc data warehouses; automated monitoring system; coherence model performance; grid services; online data sources; pull-based monitoring; request scheduling algorithm; slacker coherence protocol; Application software; Biomedical computing; Biomedical informatics; Biomedical monitoring; Coherence; Computerized monitoring; Data warehouses; Information science; Protocols; Subcontracting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on
Print_ISBN :
0-7695-1919-9
Type :
conf
DOI :
10.1109/CCGRID.2003.1199375
Filename :
1199375
Link To Document :
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