The Innovating the Network for Data-Intensive Science workshop brings together network engineers and researchers to share challenges and potential solutions in the information systems and networking communities.
With its inaugural appearance at SC14 in New Orleans, INDIS has become an academic forum for experts, researchers, and engineers in research and education (R&E) networking.
The workshop encourages research papers that address one or more of the networking needs; and developments that are essential in the information systems infrastructure for the scientific discovery process.
This workshop also serves as a platform for participants in SCinet, the high-speed network built for the SC conference, to present experimental papers on their latest designs and solutions. SCinet, as a state-of-the-art network, connects many demonstrators of big science data processing infrastructures at the highest line speeds, deploys the newest technologies available, and demonstrates novel functionality.
We invite papers that propose new and novel techniques that increase the capacity and functionality of scientific computing and wide-area networks.
Topics of interest include but are not limited to:
- Data-intensive distributed application architectures
- Software-defined networking (SDN) and Network Function Virtualization (NFV) in service of data science applications
- High performance data transfer applications and techniques
- Science DMZs and other campus network architecture constructs
- Requirements and issues for network quality of service (QoS) or experience (QoE)
- Multi-domain networking, including hybrid clouds, multi-domain authorization, data sharing and data privacy
- Network monitoring and traffic analytics, autonomous network control
- Network management: diagnostics, troubleshooting, fault management, performance monitoring, configuration management and scheduling
- High-performance network protocols and network architectures
- Securing high-speed networks
- Cross-layer network architectures and concepts
- Michelle Zhu, Associate Professor, Computer Science Department, Montclair State University
- Ilya Baldin, Director, Networking Research and Infrastructure, RENCI/UNC Chapel Hill
- Paola Grosso, Associate professor in the System and Network Engineering (SNE) group at the University of Amsterdam, The Netherlands.
- Ilya Baldin Renaissance Computing Institute
- Richard R. Brooks Clemson University
- Gang Chen Zhengzhou University
- Kang Chen Southern Illinois University
- Yi Gu Middle Tennessee State University
- Deniz Gurkan University of Houston
- Rajkumar Kettimuthu Argonne National Laboratory
- Dawei Li Montclair State University
- Guoming Lu University of Electronic Science and Technology of China
- Marc Lyonnais Ciena Corporation
- Kevin Quire Utah Education Network (UEN)
- Jim Stewart Utah Education Network (UEN)
- Brian Tierney Lawrence Berkeley National Laboratory
- Kuang-Ching Wang Clemson University
- Rod Wilson Ciena Corporation
- Linda Winkler Argonne National Laboratory
- Hongbo Zhou Montclair State University
- Michael Zink University of Massachusetts, Amherst