NDM 2011‎ > ‎


Accessing and managing large amounts of data is a great challenge in a collaborative environment where resources/scientists are geographically distributed. There is a need for efficient use of the network infrastructure in order to address the increasing data and compute requirements of large-scale applications. Since the amount of data is continuously growing, traditional techniques of leaving the burden on the user of moving/storing data is not a viable option in many cases.  In order to deliver true exascale performance to the application layer, network-aware data management services for resource provisioning, intelligent data-flow and coordination between the host systems is highly desirable. This workshop will seek contribution from academia, government, and industry to discuss emerging trends in use of networking for data management, novel abstraction techniques for data representation, simplification of end-to-end data flow by providing transparent data services, end-to-end resource coordination, and network-aware tools for the scientific community.

Topics of interest include but are not limited to:
  • Challenges in data-intensive distributed computing
  • End-to-end resource provisioning
  • Optimization and development of data transfer protocols
  • Scalable services for network-aware applications
  • Re-configurable data-access frameworks
  • Network-aware scheduling and resource brokering
  • Advanced services for managing data-flow
  • On-demand bandwidth allocation and network reservation
  • Application pipelines and workflow management
  • Network-aware toolkits for data distribution
  • Data replication and metadata management
  • Data clouds, data scheduling, and data placement
  • Heterogeneous and distributed resource management
  • Performance evaluation of network-aware data management
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