1:26 p.m.
https://scinet.supercomputing.org/community/indis/
*Submission Deadline Extended for SC24 INDIS Workshop - Call for Papers (Due August
15th)*
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CALL FOR PAPERS - Due August 15th
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The 11th Annual International Workshop on Innovating the Network for Data-Intensive
Science (INDIS 2024) in conjunction with SC24
Atlanta, Georgia, USA | Monday, November 18th, 2024
We invite researchers and engineers to submit high-quality technical academic papers to
the 11th Annual International Workshop on Innovating the Network for Data-Intensive
Science (INDIS 2024). The workshop will be held in conjunction with the SC24: IEEE/ACM
International Conference for High Performance Computing, Networking, Storage and Analysis,
which will be held in Atlanta, Georgia, November 17-22, 2024. We invite papers that
propose new and novel techniques that increase the capacity and functionality of
scientific computing and high-performance networks. This workshop encourages submissions
that address one or more of the workshop topics addressing networking research challenges;
and developments that are essential in information systems infrastructure for the
scientific discovery process.
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 network instrumentation techniques and novel functionality.
The show floor network connects to many laboratories and universities worldwide using
high-bandwidth connections. *
Topics of interest include but are not limited to:
* Network innovations: novel approaches, protocols and algorithms to meet the current
and emerging requirements for data intensive applications.
* High-performance network testbeds and simulations for parallel and distributed
science experiments and workloads.
* High-performance and large-scale network monitoring, control and management
services.
* Software-defined networking (SDN) and Network Function Virtualization (NFV) in
service of data science applications.
* Machine learning algorithms for network telemetry, performance measurements, network
and Input/Output (I/O) profile analytics, and high-touch solutions on network packets,
flows and hardware stats to identify patterns and troubleshooting issues.
* Compute in-network (aka edge- middleware computing platforms) and offloaded
infrastructure services on programmable hardware (e.g. FPGA).
* High-performance data streaming and memory-to-memory transfer applications and
techniques
* Wireless and Quantum networking and testbeds.
* End-to-end quality of service (QoS) performance and Traffic Engineering (TE)
applications.
* Multi-domain networking, including hybrid clouds and multi-domain authorization.
* Scientific data privacy, security, integrity, provenance and sharing in multi-domain
environments.
Important Dates:
*Paper Submission Due: August 15th, 2024*
Notification of acceptance: September 5th, 2024
Camera-ready version: September 27th, 2024
Workshop Date: November 17th, 2024
Submission Guidelines:
Papers will be published in the SC24 conference workshop proceedings through IEEE TCHPC
upon approval. Workshop papers are expected to be in IEEE standard conference format
(two-column and 10 point font size) with 8-10 pages for full papers and 4 pages for short
papers describing novel work in the topics of interest. Experiments from SCinet and show
floor are encouraged (e.g. Traveling FABRIC node). Manuscripts should be submitted via the
SC Linklings system. Please visit the Workshop website for more information:
https://scinet.supercomputing.org/community/indis/INDIS2024/
Organizing Committee:
Akbar Kara: Ciena Corporation, TX, USA (Co-Chair)
Anees Al-Najjar: Oak Ridge National Laboratory, TN, USA (Co-Chair)
Nik Sultana: Illinois Institute of Technology, IL, USA
Mariam Kiran: Oak Ridge National Laboratory, TN, USA
Cees de Laat: Univ. of Amsterdam, Netherland