Distributed and Parallel Systems: Cluster and Grid Computing is the proceedings of the fourth Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by Johannes Kepler University, Linz, Austria and the MTA SZTAKI Computer and Automation Research Institute.

Cluster Computing: Tools and Techniques.- Toward a Cluster Operating System that Offers a Single System Image.- Load Balancing for P-GRADE Parallel Applications.- Exploiting Runtime Information in Load Balancing Strategies.- Server Based Migration of Parallel Applications.- Predicting Performance of SMP Clusters.- A Data Intensive Computation on a Cluster.- Global and Grid Computing.- Information System Architecture for Brokering in Large Scale Grids.- Experiments in Load Balancing Across the Grid via a Code Transformation.- Towards a Robust and Fault-Tolerant Multicast Discovery Architecture for Global Computing Grids.- C3 Power Tools: The Next Generation....- Interactive Virtual Reality Volume Visualization on the Grid.- Ubiquitous Context Sensing in Wireless Environments.- Parallel and Distributed Software Development and Applications.- Application of P-GRADE Development Environment in Meteorology.- MRT - An Approach to Minimize the Replay Time During Debugging Message Passing Programs.- ANT - A Testing Environment for Nondeterministic Parallel Programs.- Semantic Elements for Parallel Computing in ORB(M).- A Mobile Agent-based Infrastructure for an Adaptive Multimedia Server.- An Adaptive MPEG-4 Proxy Cache.- Distributed Training of Universal Multi-Nested Neurons.- Parallel Traffic Simulation in Spider Programming Environment.- Conformace Testing of Parallel Languages.- Dependable and fault tolerant systems.- A Dependable High Performance Serial Storage Architecture.- Modeling Uncertainty in System-Level Fault Diagnosis Using Process Graphs.- Tolerating Stop Failures in Distributed Maple.- A Mechanism to Detect Wireless Network Failures for MPI Programs.- Author Index.