Metaheuristics for scheduling in distributed computing environments

Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Dueto the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. First book on scheduling problems in Manufacturing Systems INDICE: From the contents Meta-heuristics for Grid Scheduling Problems.- Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment.- Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-time Systems.- Supercomputer Scheduling with Combined Evolutionary Techniques.- Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms.- Advanced Job Scheduler based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment.- Workflow Scheduling Algorithms for Grid Computing.- Decentralized Grid Scheduling using Genetic Algorithms.- Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches.- Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms.- P2P BandB and GA for the Flow-Shop Scheduling Problem.

• ISBN: 978-3-540-69260-7
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 380
• Fecha Publicación: 01/07/2008
• Nº Volúmenes: 1
• Idioma: Inglés