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Analysis Models for Blind Search in Unstructured Overlays
Cambridge, Massachusetts July 24-July 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/NCA.2006.14Fifth IEEE International Symposium on ...
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Bin Wu, Univ. of Illinois at Chicago, USA
Ajay D. Kshemkalyani, Univ. of Illinois at Chicago, USA
Flooding and random walk are two basic mechanisms for blind search in unstructured peer-to-peer overlays. Although these mechanisms have been widely studied experimentally and via simulations, they have not been analytically modeled. Time overhead, message overhead, and success rate are often used as metrics for search schemes. This paper shows that node coverage is an important metric to estimate performance metrics such as the message efficiency, success rate, and object recall of a blind search. The paper then presents two simple models to analyze node coverage in random graph overlays. These models are useful to set query parameters, evaluate search efficiency, and to estimate object replication on a statistical basis.
Citation:
Bin Wu, Ajay D. Kshemkalyani, "Analysis Models for Blind Search in Unstructured Overlays," nca, pp.223-226, Fifth IEEE International Symposium on Network Computing and Applications (NCA'06), 2006
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