Chapter 1 Meta-heuristics for Grid Scheduling Problems

Chapter 2 Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment

Chapter 3 Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems

Chapter 4 Supercomputer Scheduling with Combined Evolutionary Techniques

Chapter 5 Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms

Chapter 6 Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment

Chapter 7 Workflow Scheduling Algorithms for Grid Computing

Chapter 8 Decentralized Grid Scheduling Using Genetic Algorithms

Chapter 9 Metaheuristics for Scheduling in Distributed Computing Environments

Chapter 10 Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms

Chapter 11 P2P B&B and GA for the Flow-Shop Scheduling Problem

Chapter 12 Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics

Chapter 13 An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities