Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.

Different Approaches to Automatic Performance Analysis of Distributed Applications.- Performance Modeling of Deterministic Transport Computations.- Performance Optimization of RK Methods Using Block-based Pipelining.- Performance Evaluation of Hybrid Parallel Programming Paradigms.- Performance Modelling for Task-Parallel Programs.- Collective Communication Patterns on the Quadrics Network.- The Design of a Performance Steering System for Component-based Grid Applications.- Advances in the TAU Performance System.- Uniform Resource Visualization: Software and Services.- A Performance Analysis Tool for Interactive Grid Applications.- Dynamic Instrumentation for Java Using a Virtual JVM.- Aksum: A Performance Analysis Tool for Parallel and Distributed Applications.- Commercial Applications of Grid Computing.- Mesh Generation and Optimistic Computation on the Grid.- Grid Performance and Resource Management using Mobile Agents.- Monitoring of Interactive Grid Applications.- The UNICORE Grid and Its Options for Performance Analysis.

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