Abstract
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 language | English (US) |
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Pages (from-to) | 18-26 |
Number of pages | 9 |
Journal | IEEE Internet Computing |
Volume | 6 |
Issue number | 6 |
DOIs | |
State | Published - Nov 2002 |
Externally published | Yes |
ASJC Scopus subject areas
- Computer Networks and Communications