Topics

• File systems, protocols and storage management for parallel and distributed systems, including supercomputers, clusters, grid, peer to peer, and embedded systems.
• Internet services scalability, including locally and geographically distributed web systems, web clusters, web applications architecture, mobile applications, web services, load balancing, availability and reliability of web systems, web caching, web replication, edge services, web performance modeling, web workload characterization, etc.
• High performance I/O, including massively parallel storage architectures, data and meta-data consistency, allocation and utilization strategies for exploiting parallel and distributed memory, Ad-hoc parallel file systems, parallel I/O architectures, compilers and I/O APIs, etc.
• Parallel and distributed databases, including OLAP, replication schemes, optimal data allocation, multidimensional analysis, access patterns, data declustering, Client Caching Data Management Systems, index distribution schemes, memory management techniques, etc.
• Performance evaluation: benchmarking of data management systems, I/O benchmarks, performance under faulty conditions, I/O optimization techniques for scientific and business applications, performance tuning, I/O modeling, performance tools, tests of products, etc.
• Security, reliability and availability in distributed storage systems, including fault tolerance mechanisms, impact of replication on reliability, reliability and availability modelling, highly available storage systems, cryptographic techniques, secure protocols, etc.
• Data management applications, including data mining, knowledge discovery, data fussion, ontologies, bioinformatics, simulations, geographical information systems, image processing, Web retrieval, checkpointing, astrophysics, particle physics, etc.
• Storage technology and protocols including both hardware and software elements, including new I/O architectures, active storage, virtualization, I/O middleware, quality of service issues, etc.