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INDIS 2020 : 7th Annual International Workshop on Innovating the Network for Data Intensive Science (INDIS) 2020

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Link: https://scinet.supercomputing.org/workshop/
 
When Nov 16, 2020 - Nov 16, 2020
Where Atlanta
Submission Deadline Sep 4, 2020
Notification Due Sep 25, 2020
Final Version Due Oct 9, 2020
 

Call For Papers

7th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS) 2020
Call for Papers

We invite researchers and engineers to submit high-quality technical academic papers to the 7th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS) 2020. The workshop will be held in conjunction with the SC20: IEEE/ACM International Conference for High-Performance Computing, Networking, Storage and Analysis (SuperComputing), which will be held in Atlanta, GA, on Monday, November 16, 2020.

We invite papers that propose new and novel techniques that increase the capacity and functionality of scientific computing and wide-area networks. This workshop encourages submissions that address one or more of the following networking research challenges; and developments that are essential in the information systems infrastructure for the scientific discovery process.

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

We also welcome participants from SCinet to present high-quality experimental papers on their latest designs and solutions. SCinet, as the high-speed network engine of the SC conference, represents 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.

Important Dates:
Paper Submission due: Friday, September 04, 2020
Notification of acceptance: Friday, September 25, 2020
Camera-ready version: Friday, October 9th, 2020
Workshop Date: Monday, November 16, 2020


Submission Guidelines:
Papers will be published in the SC20 conference workshop proceedings through IEEE TCHPC upon approval. Workshop papers are expected to be 8-12 pages, use the IEEE conference template and submitted via the SC Linklings system.

Detailed submission guidelines will be provided in June 2020. Please check INDIS website https://scinet.supercomputing.org/workshop/ for detailed submission instructions.

Reproducibility Criteria:
AD Appendices will be mandatory for all submissions. AE Appendices are still optional, and both will be submitted via a standard form in the conference submission system. Three new Technical Program tracks, with their respective committees and chairs, are introduced in support of the SC Reproducibility Initiative. Please visit SC20 Reproducibility Initiative page https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/

Website:
https://scinet.supercomputing.org/workshop/


Registration:
SC20 workshop registration is handled through the SC20 system. Please visit http://sc20.supercomputing.org for more information.

If you have any further questions, please email:
scinet-workshop@scinet.supercomputing.org

Organizing Committee:

● Michelle Zhu, Montclair State University
● Sarah M. Neuwirth: Research Scientist, Institute of Computer Engineering, Heidelberg University
● Mariam Kiran: Research Scientist, Energy Science Network (ESnet), Lawrence Berkeley National Laboratory



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