Abstract :
This workshop gives a forum to researchers and engineers to present their results in grid and distributed computing. Special areas of interest are grid middleware, grid applications, grid benchmarking, data distribution and replication on the grid, fault tolerance and efficiency of grid applications, novel models of grid computing, including cloud and mobile computing. Topics include: • Applications: Theory and practice of grid computing. Solution of large problems on grids. • Benchmarking: Evaluating performance of grid hardware and middleware. Grid benchmarking. • Infrastructure: Implementation and evaluation of grid middleware. • Data Grids: Use of grids for analysis of large data sets. • Management and Scheduling: Account management, resource monitoring • Scheduling: Resource allocation, application scheduling and containerization. • Networking: QoS for grid applications. Bandwidth management. • Partitioning and Load Balancing: Mapping data and applications on computational grids. • Programming Models: Methods for remote execution and intertask communications, including message passing and RPC.
