Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications. Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments defines and characterizes the latest research achievements in grid computing. This book provides an important reference for academicians, practitioners, and researchers in fields such as parallel and distributed computing,...

This guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. Features: includes contributions from an international selection of preeminent e-science experts and practitioners; discusses use of...