[hpc-announce] (CALL FOR PAPERS) INDIS Workshop at SC20 - Papers due September 4, 2020

Sarah M. Neuwirth sarah.neuwirth at gmx.net
Sat Jul 11 11:54:53 CDT 2020


**[Please accept our apologies if you receive multiple copies of this email]**

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                        Call for Papers

INDIS 2020: 7th Workshop on Innovating the Network for Data-Intensive Science

            Held in conjunction with SC20, Atlanta, GA.
                In cooperation with: IEEE and TCHPC.

		November 16, 2020, Atlanta, GA, USA (tentative)

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

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   Scope, Aims, and Topics
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The Innovating the Network for Data-Intensive Science (INDIS) 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.

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.

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   Submission Guidelines
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Accepted papers will be published in the SC20 conference workshop proceedings through IEEE TCHPC. Submitted papers must describe original work that has not appeared in, nor is under consideration for, another conference or journal. Papers shall be eight (8) pages minimum and not exceed twelve (12) including text, appendices, and figures. Appendix pages related to the reproducibility initiative dependencies, namely the Artifact Description (AD) and Artifact Evaluation (AE), are not included in the page count.

Workshop papers must be submitted electronically at https://submissions.supercomputing.org/ and must follow the IEEE conference template: https://www.ieee.org/conferences/publishing/templates.html

INDIS 2020 follows the SC20 reproducibility and transparency initiative.
The SC20 details can be found at:
https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/

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   Important dates
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- Workshop paper submission due: Friday, September 4, 2020
- Notification of acceptance: Friday, September 25, 2020
- Camera-ready version due: Friday, October 9, 2020
- Workshop date: Monday, November 16, 2020, 9am-5:30pm

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   Workshop Committees
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Organizing Committee and Workshop Chairs:
- Michelle Zhu, Montclair State University, USA
- Sarah M. Neuwirth, Heidelberg University, Germany
- Mariam Kiran, ESnet, Lawrence Berkeley National Laboratory, USA

Program Committee (confirmed):
- Scott Atchley, Oak Ridge National Laboratory, USA
- Markus Fischer, Cisco Systems, Germany
- Anna Giannakou, Lawrence Berkeley National Laboratory, USA
- Kartik Gopalan, Binghamton University, USA
- Deniz Gurkan, University of Houston, USA
- Nathan Hanford, Lawrence Livermore National Laboratory, USA
- Mami M. Hayashida, University of Kentucky, USA
- Zhiyi Huang, University of Otago, New Zealand
- Richard Hughes-Jones, GEANT Association, United Kingdom
- Umar Kalim, Amazon Web Services, USA
- Christer Karlsson, South Dakota School of Mines and Technology, USA
- Raj Kettimuthu, Argonne National Laboratory and University of Chicago, USA
- Ezra Kissel, Energy Science Network (ESnet), USA
- Marc Lyonnais, Ciena Corporation, Canada
- Iara Machado, Rede Nacional de Ensino e Pesquisa (RNP), Brazil
- Anu Mercian, Hewlett Packard Labs, USA
- Behzad Mirkhanzadeh, University of Texas at Dallas, USA
- Nageswara S. Rao, Oak Ridge National Laboratory, USA
- Paul Ruth, Renaissance Computing Institute (RENCI), USA
- Brian L. Tierney, Lawrence Berkeley National Laboratory, USA
- Kuang-Ching Wang, Clemson University, USA
- Rod Wilson, Ciena Corporation, Canada
- Wenji Wu, Fermi National Accelerator Laboratory, USA
- Matthew J. Zekauskas, Internet2, USA
- Michael Zink, University of Massachusetts Amherst, USA

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   Contact information:
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For questions, please email us at: scinet-workshop at scinet.supercomputing.org
Please refer to our INDIS 2020 website for the latest updates:
https://scinet.supercomputing.org/workshop/

 
--
Dr. Sarah M. Neuwirth, Research Scientist
Heidelberg University - Computer Architecture Group
69120 Heidelberg, Germany / http://www.cag.uni-hd.de
Phone: +49-6221-54-16364 Fax: +49-6221-54-16379


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