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Meta-heuristics for Grid Scheduling Problems | p. 1 |
Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment | p. 39 |
Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems | p. 61 |
Supercomputer Scheduling with Combined Evolutionary Techniques | p. 95 |
Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms | p. 121 |
Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment | p. 153 |
Workflow Scheduling Algorithms for Grid Computing | p. 173 |
Decentralized Grid Scheduling Using Genetic Algorithms | p. 215 |
Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches | p. 247 |
Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms | p. 273 |
P2P B&B and GA for the Flow-Shop Scheduling Problem | p. 301 |
Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics | p. 323 |
An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities | p. 341 |
Index | p. 361 |
Author Index | p. 365 |
Table of Contents provided by Ingram. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.