GRID computing approach for multireservoir operating rules with uncertainty

Developing mathematical optimization models that define multireservoir operating rules that are worthy of being evaluated by simulation models is a challenging task. The traditional approach can easily be scaled, and GRID computing can reduce computation times for large water resource systems. The potential for GRID computing in this area of research is largely unexplored. In this paper, the migration of a mixed optimization–simulation approach and preliminary applications to a water system in Southern Italy are presented. Results indicate that GRID computing provides significant savings in computation time

Advances in Grid Computing

This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems