[hpc-announce] CFP: INDIS (Innovating the Network for Data-Intensive Science) Workshop at SuperComputing 21

[Mariam Kiran]

Dear All,

We highly encourage you all to submit to INDIS workshop at SC this year.
Mariam and Anu

**[Accept our apologies if you receive multiple copies of this
announcement]**

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                        Call for Papers

INDIS 2022: 9th Workshop on Innovating the Network for Data-Intensive
Science

            Held in conjunction with SC22 at Dallas, Texas.
 In cooperation with: IEEE Computing Society and Association for Computing
Machinery (ACM)

Sunday, November 13th, 2022, Dallas, Texas, USA

https://scinet.supercomputing.org/community/indis/

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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 researchers and engineers to share findings,
challenges and potential solutions in distributed computing, 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 9th Annual International Workshop on Innovating the
Network for Data-Intensive Science (INDIS) 2022. The workshop will be held
in conjunction with the SC22: IEEE/ACM International Conference for High
Performance Computing, Networking, Storage and Analysis (SuperComputing),
which will be held in Dallas, Texas, on Sunday, November 13th, 2022.

We invite papers that propose new and novel techniques that increase the
capacity, improve functionality of scientific computing and wide-area
networks and tackle some of the pressing challenges in massive data
movement challenges such as those faced in science and industry
applications. This workshop encourages submissions that address one or more
of the following networking research challenges; and developments that are
essential in the networking systems infrastructure and distributed
computing for the scientific discovery process.

Topics of interest include, but are not limited to:
- Data-intensive distributed data application architectures
- Software-defined networking (SDN) and Network Function Virtualization
(NFV) in service of data science and industry 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
- Intent-based Networking
- Network measurements, monitoring tools, and traffic analytics
- Use of machine learning and AI for autonomous or self-driving networking
- Network management: diagnostics, troubleshooting, fault management,
performance monitoring, configuration management, and scheduling
- High-performance networking protocols and novel network architectures
- Securing high-speed networks
- Cross-layer network architectures and concepts
- innovative networking solutions to solve massive data movement in both
science and industry applications
- Network and Data Infrastructure for AI or HPC Workloads

We also welcome participants from SCinet to present their 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 and it will be innovative to see new solutions
built from ground up.

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   Submission Guidelines
================================
Accepted papers will be published in the SC22 conference workshop
proceedings through <SC INDIS Linklings<
https://submissions.supercomputing.org/> . Submitted papers must describe
original work that has not appeared in, nor is under consideration for,
another conference, journal or Arxiv submissions. 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 2022 follows the SC22 reproducibility and transparency initiative.
The SC22 details can be found at:
https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/

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   Important dates
================================
- Workshop paper submission due: Monday, August 15th, 2022
- Notification of acceptance: Thursday, September 8th, 2022
- Camera-ready version due: Monday, October 10th, 2022
- Workshop date: Sunday, November 13th, 2022, 9am-5:30pm

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   Workshop Committees
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Organizing Committee and Workshop Chairs:
- Mariam Kiran, ESnet, Lawrence Berkeley National Laboratory, USA
- Anu Mercian, Google, USA

Program Committee (confirmed):
- Scott Atchley, Oak Ridge National Laboratory, USA
- Anna Giannakou, Lawrence Berkeley National Laboratory, 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
- 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
- Behzad Mirkhanzadeh, University of Texas at Dallas, 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
- Harumi Kuno, Hewlett Packard Labs, 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 2022 website for the latest updates:
https://scinet.supercomputing.org/community/indis/