Modern Operating Systems
Introduction to Parallel Processing: Algorithms and Architectures
Introduction to Parallel Processing: Algorithms and Architectures
Computers and Intractability; A Guide to the Theory of NP-Completeness
Computers and Intractability; A Guide to the Theory of NP-Completeness
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
Communication Contention in Task Scheduling
IEEE Transactions on Parallel and Distributed Systems
Operating System Concepts
An ant algorithm for balanced job scheduling in grids
Future Generation Computer Systems
Scheduling in Distributed Computing Systems: Analysis, Design and Models
Scheduling in Distributed Computing Systems: Analysis, Design and Models
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
Adaptive grid job scheduling with genetic algorithms
Future Generation Computer Systems
Quantum genetic algorithm for hybrid flow shop scheduling problems to minimize total completion time
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Double chains quantum genetic algorithm with application to neuro-fuzzy controller design
Advances in Engineering Software
Autonomic job scheduling policy for grid computing
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Observations on Effect of IPC in GA Based Scheduling on Computational Grid
International Journal of Grid and High Performance Computing
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The Computational Grid (CG) provides a wide distributed platform for high end computing intensive applications. Scheduling on Computational grid is known to be NP-Hard problem and requires an efficient solution. Recently, quantum inspired computing has been introduced in the literature to solve such a complex combinatorial optimization problem efficiently. Combination of Genetic Algorithm (GA) and quantum concept evolves a new meta-heuristic technique known as Quantum Genetic Algorithms (QGA). QGA is a search procedure based on evolutionary computation and Quantum Computing (QC). This paper proposes a novel technique of scheduling in computational grid using QGA. The work simulates the model to study its performance. It also makes a comparative study with a GA-based scheduling model. Simulation results reveal the effectiveness of the model.