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).
ASJC Scopus subject areas
- Computer Networks and Communications