Title of article :
OPTIMIZING THE AVERAGE DISTRIBUTED PROGRAM THROUGHPUT (ADPT) BY USING GENETIC ALGORITHMS
Author/Authors :
abd el-aziz, m. h. ain shams university - faculty of computer and nformation science - information systems department, Egypt , younes, a. sohag university - faculty of science - computer science department, Egypt , hassan, m. r. south valley university - faculty of science - mathematics department, Egypt , abdo, h. south valley university - faculty of science - mathematics department, Egypt
Abstract :
The Average Distributed Program Throughput (ADPT) depends on the Files Distributed (Allocated) to execute a program and the set of capacities that assignment to links. The paper proposes a genetic algorithm to maximize the Average Distributed Program Throughput (ADPT) such that the total cost of link capacities does not exceed the specified upper bound. I.e. find the best set of capacities that maximize ADPT and Minimize total cost.
Keywords :
Genetic Algorithms , Computer Networks , Average Distributed Program Throughput , Capacity Assignment Problem
Journal title :
International Journal of Intelligent Computing and Information Sciences
Journal title :
International Journal of Intelligent Computing and Information Sciences
