Faster web page allocation with neural networks

Vir V. Phoha, S. Sitharama Iyengar, Rajgopal Kannan

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Although scheduling algorithms for traditional distributed systems do not address the special needs of Web server clusters well, a significant evolution in the computational approach to artificial intelligence and cognitive engineering shows promise for Web request scheduling. Not only is this transformation-from discrete symbolic reasoning to massively parallel and connectionist neural modeling-of compelling scientific interest, but also of considerable practical value. This paper presents a new learning algorithm for fast Web page allocation on a server using the self-organizing properties of the neural network (NN).

Original languageEnglish (US)
Pages (from-to)18-26
Number of pages9
JournalIEEE Internet Computing
Issue number6
StatePublished - Nov 2002
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications


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