Inhaltsverzeichnis
Automatic service composition Cost-based resource management Dynamic network optimization Ensuring grid workflows Establishing quality of service guarantees Grid workflows with encompassed business relationships Replication-based grid systems Resource management strategies Quantitative quality of service for grid computing Workflow scheduling
Klappentext
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, high performance computing, and grid computing.
