NDM 2014‎ > ‎


Data sharing and resource coordination among distributed teams are becoming significant challenges every passing year. Networking is one of the most crucial components in the overall system architecture of a data centric environment. Many of the current solutions both in industry and scientific domains depend on the underlying network infrastructure and its performance. There is a need for efficient use of the networking middleware to address increasing data and compute requirements. Main scope of this workshop is to promote new collaborations between data management and networking communities to evaluate emerging trends and current technological developments, and to discuss future design principles of network-aware data management. We will seek contribution from academia, government, and industry to address current research and development efforts in remote data access mechanisms, end-to-end resource coordination, network virtualization, analysis and management frameworks, practical experiences, data-center networking, and performance problems in high-bandwidth networks.

Topics of interest include but are not limited to:

  • Applications of software defined networking to large data flows
  • Experimental results from network applications
  • Design, implementation, and analysis of high-performance networking
  • Performance evaluation and network support for data-intensive computing
  • Dynamic resource provisioning and network virtualization
  • Operating system and virtualization support for networking
  • Network-aware data management tools and systems
  • Practical experiences and prototypes for network-aware data management
  • Requirements and issues for network quality of service (QoS)
  • Application pipelines and network-aware toolkits for data distribution
  • Data replication and re-configurable data-access frameworks 
  • Network fault tolerant data distribution for large scientific datasets
  • Optimization and development of data transfer protocols
  • Scalable services and workflows for network-aware applications
  • Data center networking and network management for Cloud environments
  • Heterogeneous and distributed resource coordination and management
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