[hpc-announce] UPDATED CALL: CFP for INDIS 2023: 10th Workshop on Innovating the Network for Data-Intensive Science - SC23 at Denver, Colorado

Sarah Neuwirth s.neuwirth at em.uni-frankfurt.de
Fri Aug 4 03:42:04 CDT 2023

Dear All,

There is still time to submit!

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

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

                         Call for Papers
INDIS 2023: 10th Workshop on Innovating the Network for Data-Intensive 
Held in conjunction with SC23 at Denver, Colorado.
In cooperation with: IEEE Computing Society and Association for 
Computing Machinery (ACM)
Sunday, November 12th, 2023, Denver, Colorado, USA

    Scope, Aims, and Topics
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 10th Annual International Workshop on Innovating 
the Network for Data-Intensive Science (INDIS) 2023. The workshop will 
be held in conjunction with the SC23: IEEE/ACM International Conference 
for High Performance Computing, Networking, Storage and Analysis 
(SuperComputing), which will be held in Denver, Colorado, on Sunday, 12 
November 2023.

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
- Intent-based Networking (IBN), 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
- Network measurements, monitoring tools, traffic analytics and 
Networking Datasets
- 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
- Efforts in Engineering Wireless, 5G and Quantum Networks, and similar 
- Experimentation using Networking Testbeds such as FABRIC, Chameleon, 
POWDER, NRP, Bridges and more

We also welcome participants from the SCinet Network Research Exhibition 
to present their high-quality experimental & engineering 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.
This year we are including lightning talks from NRE demonstrations that 
are using any of the testbeds FABRIC, Chameleon, etc, from the showfloor 
to submit a 2-page description of the demo.

    Submission Guidelines
All authors must use the new proceedings templates at 
For Latex users, version 1.90 (last update April 4, 2023) is the latest 
template, and please use the “sigconf” option.

Accepted papers will be published in the SC23 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. 
Long 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. 
Short abstracts on the demonstrations are limited to two (2) pages, 
excluding references. Please note, full papers will be published in 
ACM/IEEE proceedings for Supercomputing 2023. The short papers will not 
be published but will be listed on the INDIS website and links added to 
arvix papers.

Similar to previous INDIS, there will be a best paper award at the 
workshop, as well as a best demonstration award to be presented at the 
SCinet Theater during exhibition hours.
Workshop papers must be submitted electronically at 
https://submissions.supercomputing.org/ and must follow the IEEE 
conference template: 
INDIS 2023 follows the reproducibility and transparency initiative 
established at SC20.
The details can be found at:

    Important dates
- Paper Submission due: August 11th, 2023 (Final)
- Notification of acceptance: September 8th, 2023
- Camera-ready version: September 29th, 2023
- Workshop Date: November 12th, 2023

    Workshop Committees
Organizing Committee and Workshop Chairs:
- Mariam Kiran, Oak Ridge National Laboratory, USA
- Anu Mercian, Google, USA
- Winona Snapp-Childs, Indiana University, USA
- Cees de Laat, University of Amsterdam, NL

    Contact information:
For questions, please email us at: scinet-workshop at scinet.supercomputing.org
Please refer to our INDIS 2023 website for the latest updates:

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