Dynamic Load Balancing Model: Preliminary Assessment of a Biological Model for a Pseudo-Search Engine (2000) [1 citations — 0 self]
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author = {Reginald L. Walker},
title = {Dynamic Load Balancing Model: Preliminary Assessment of a Biological Model for a Pseudo-Search Engine},
booktitle = {In SPDP: IEEE Symposium on Parallel and Distributed Processing},
year = {2000},
pages = {61--74}
}
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Abstract:
Emulation of the currentWorld Wide Web (WWW) search engines using methodologies derived from Genetic Programming (GP) and Knowledge Discovery in Databases (KDD) were used for the PseudoSearch Engine's initial parallel implementation of an indexer simulator. The indexer was implemented to follow some of the characteristics currently implemented by AltaVista and Inktomi search engines who index eachword in a Web document. This approach has provided very thorough and comprehensive search engine results that have led to the development of a Pseudo-Search Engine Indexer which has in turn provided insightinto the computational effort needed to develop and implement an integrated search engine - information crucial to the adaptation of a biological model. The initial implementation of the Pseudo-Search Engine Indexer simulator used the Message Passing Interface (MPI) on a network of SUN workstations and an IBM SP2 computer system.
