Euro-Par 2006 Workshops: Parallel Processing: Coregrid 2006, Unicore Summit 2006, Petascale Computational Biology and Bioinformatics, Dresden, Germany (Paperback, 2007)

CoreGRID Workshop on GRID Middleware.- Architecture of a Network Monitoring Element.- Support for Automatic Diagnosis and Dynamic Configuration of Scalable Storage Systems.- Adding Dynamism to OGSA-DQP: Incorporating the DynaSOAr Framework in Distributed Query Processing.- Review of Security Models Applied to Distributed Data Access.- Security Requirements Analysis for Large-Scale Distributed File Systems.- Coupling Contracts for Deployment on Alien Grids.- A Transparent Framework for Hierarchical Master-Slave Grid Computing.- A Multi-level Scheduler for the Grid Computing YML Framework.- Virtual Environments - Framework for Virtualized Resource Access in the Grid.- Grid Meta-Broker Architecture: Towards an Interoperable Grid Resource Brokering Service.- A Super-Peer Model for Multiple Job Submission on a Grid.- A Scheduling Algorithm for High Performance Peer-to-Peer Platform.- Brokering Multi-grid Workflows in the P-GRADE Portal.- Diet: New Developments and Recent Results.- Execution Support of High Performance Heterogeneous Component-Based Applications on the Grid.- Towards a Grid Information Knowledge Base.- UNICORE Summit 2006.- A Versatile Execution Management System for Next-Generation UNICORE Grids.- Towards More Flexible and Increased Security and Privacy in Grids.- Integration of Grid Cost Model into ISS/VIOLA Meta-scheduler Environment.- A One-Stop, Fire-and-(Almost)Forget, Dropping-Off and Rendezvous Point.- Grid-Based Processing of High-Volume Meteorological Data Sets.- BLAST Application on the GPE/UnicoreGS Grid.- Job Management Enterprise Application.- UNICORE Deployment Within the DEISA Supercomputing Grid Infrastructure.- Petascale Computational Biology and Bioinformatics.- Progress in Scaling Biomolecular Simulations to Petaflop Scale Platforms.- Progress Towards Petascale Applications in Biology: Status in 2006.- Toward a Solution of the Reverse Engineering Problem Using FPGAs.- Two Challenges in Genomics That Can Benefit from Petascale Platforms.- High Throughput Image Analysis on PetaFLOPS Systems.