Introduction to Parallel Processing: Algorithms and Architectures
Introduction to Parallel Processing: Algorithms and Architectures
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Sub optimal scheduling in a grid using genetic algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Genetic Algorithm Based Scheduler for Computational Grids
HPCS '05 Proceedings of the 19th International Symposium on High Performance Computing Systems and Applications
Adaptive grid job scheduling with genetic algorithms
Future Generation Computer Systems
An ant algorithm for balanced job scheduling in grids
Future Generation Computer Systems
An Evolution-Based Dynamic Scheduling Algorithm in Grid Computing Environment
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 01
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A novel scheduling model for computational grid using quantum genetic algorithm
The Journal of Supercomputing
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Computational Grid CG provides a wide distributed platform for high end compute intensive applications. Inter Process Communication IPC affects the performance of a scheduling algorithm drastically. Genetic Algorithms GA, a search procedure based on the evolutionary computation, is able to solve a class of complex optimization problems. This paper proposes a GA based scheduling model observing the effect of IPC on the performance of scheduling in computational grid. The proposed model studies the effects of Inter Process Communication IPC, processing rate and arrival rate. Simulation experiment, to evaluate the performance of the proposed algorithm is conducted and results reveal the effectiveness of the model.