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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 announcement]**
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Call for Papers
INDIS 2023: 10th Workshop on Innovating the Network for Data-Intensive Science
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
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 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 technologies
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.
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Submission Guidelines
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All authors must use the new proceedings templates at https://www.acm.org/publications/proceedings-template.
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: https://www.ieee.org/conferences/publishing/templates.html
INDIS 2023 follows the reproducibility and transparency initiative established at SC20.
The details can be found at:
https://sc20.supercomputing.org/submit/transparency-reproducibility-initiative/
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Important dates
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· Paper Submission due: August 11th, 2023 (Final)
· Notification of acceptance: September 8th, 2023
· Camera-ready version: September 29th, 2023
· Workshop Date: November 12th, 2023
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Workshop Committees
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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
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Contact information:
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For questions, please email us at: scinet-workshop@scinet.supercomputing.org
Please refer to our INDIS 2023 website for the latest updates:
https://scinet.supercomputing.org/community/indis/
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