학술논문
Efficient query processing over mirror servers using genetic algorithms
Document Type
Text
Author
Source
Neural network world: international journal on neural and mass-parallel computing and information systems | 2007 Volume:17 | Number:4
Subject
Language
English
Abstract
In a mirror server environment, clients request services from servers. Therefore, the system must have an intelligent algorithm to select the most suitable server to fulfill a coming request. Choosing such a server for a particular client may be very difficult. Evolutionary techniques can be utilized to determine the server best suited to a particular client request based on parameters such as processing and reply times. Usage of genetic algorithms in server selection is researched in this paper taking into consideration various probabilities for mutation and crossover.