The INDIS Workshop

Please fill out the SC16 survey if you attended the workshop: Workshop Evaluation Form

Announcement of keynote speaker during this year's INDIS workshop:
Dr. Kuang-Ching Wang from Clemson University will give a keynote about 'Transforming Research & Education Through Unusual Collaborations'

The 3nd International Workshop on Innovating the Network for Data Intensive Science (INDIS) 2016, in conjunction with SC16: IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, in Salt Lake City, Utah, on November 13, 2016, 9h00 – 17h00.

Call for papers:
We invite full original papers to be submitted via the FGCS submission system (for more detailed information visit the submit page. Deadline for submissions has passed.

Science is making the transition from Data-poor to Data-rich. Where in the past only limited experimental data was compared to big amounts of simulation-generated data at Supercomputing centers, we now see those centers transform into big data stream processing nodes. Wide area networks are now an integral and essential part of the data driven Supercomputing ecosystem connecting information-sources, data-stores, processing, simulation, and visualization and user communities together. Further networks are required to connect research instruments such as photon sources, and large visualization displays.

Networks for data-intensive science have more extreme requirements than general-purpose networks. These requirements closely impact the design of processor interconnects in supercomputers/cluster computers, but they also impact campus networks, regional networks and national backbone networks.

The developments in network technology are tremendous. Speeds of many 100’s of Gigabit and deep programmability of network infrastructure are now common. This enables a fundamentally different approach of integrating networks in Supercomputing applications.

This workshop encourages research papers that address one or more of these needs that are essential in the scientific discovery process. This workshop will also serve as a platform for participants in SCinet to present experimental papers on their latest designs and solutions. SCinet is the high-speed network engine of the SC conference. This network is state of the art, connects many demonstrators of big science data processing infrastructures at the highest line speeds, deploys the newest technologies available, and demonstrates novel functionality. The show floor network connects to many laboratories and universities worldwide using high-bandwidth connections.

This workshop brings together SCinet engineers and network researchers to share challenges and potential solutions. Their novel ideas will allow future SCinets to stretch their deployed technologies and further drive new network research. We invite papers that propose new and novel techniques that increase the capacity and functionality of scientific computing and wide-area networks.
It will be held on Sunday November 13 during SC16, the International Conference on High Performance Computing, Networking, Analysis, and Storage (http://sc16.supercomputing.org) November 13-18 in Salt Lake City.