NDM 2012‎ > ‎


Scientific applications and experimental facilities generate large amounts of data. In addition to increasing data volumes and computational requirements, today’s major science requires cooperative work in globally distributed multidisciplinary teams. In the age of extraordinary advances in communication technologies, there is a need for efficient use of the network infrastructure to address increasing data and compute requirements of large-scale applications. Since the amount of data and the size of scientific projects are continuously growing, traditional data management techniques are unlikely to support future collaboration systems at the extreme scale. Network-aware data management services for dynamic resource provisioning, end-to-end processing of data, intelligent data-flow and resource coordination are highly desirable. This workshop will seek contribution from academia, government, and industry to discuss emerging trends in use of networking for data management, novel techniques for data representation, simplification of end-to-end data flow, resource coordination, and network-aware tools for the scientific applications.

Topics of interest include but are not limited to:

    - High-bandwidth networks/protocols and middleware
   - Network support for data-intensive computing
   - Scalable services for network-aware applications
   - Network-aware data scheduling and resource brokering
   - Dynamic resource provisioning mechanisms
   - Performance evaluation of network-aware data management
   - Cloud/Grid management systems
   - Tools and systems to support future collaborative science
   - Practical experiences and prototypes for large-scale data streaming
   - Performance modeling/ Quality of Service (QoS) issues
   - Application pipelines and workflow management
   - Network-aware toolkits for data distribution
   - Data replication and metadata management
   - Heterogeneous resource management
   - Recovery from network failures