Metaheuristics for Scheduling in Distributed Computing Environments
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
146 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-69277-5 |
Table of 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 B&B and GA for the Flow-Shop Scheduling Problem
- Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics
- An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities.