NDM 2014 - Network-aware Data Management Workshop

The 4th International Workshop on Network-aware Data Management (NDM'14) will be held in cooperation with ACM SIGHPC, in conjunction with SC14: IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, in New Orleans, LA, on November 21, 2014.
Accepted papers will be included in ACM the proceedings and will be available through ACM DL.
Scope: 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