[hpc-announce] CFP: INDIS Workshop at SC24 (Deadline 8/1)

[Nik Sultana]

CALL FOR PAPERS

The 11th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2024) in conjunction with SC24 (Supercomputing)
Atlanta, Georgia, USA | November 17th, 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 (Supercomputing), 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 1st, 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 (Visit Wokshop website for more information).


Organizing Committee:
Anees Al-Najjar: Oak Ridge National Laboratory, TN, USA (Co-Chair)
Akbar Kara: Ciena Corporation, TX, USA (Co-Chair)
Nik Sultana:  Illinois Institute of Technology, IL, USA
Cees de Laat: Univ. of Amsterdam, Netherland
Mariam Kiran: Oak Ridge National Laboratory, TN, USA

-- 
https://urldefense.us/v3/__http://www.cs.iit.edu/*nsultana1__;fg!!G_uCfscf7eWS!axCkamZPyjm1lowIBGmahQbVAkl4yGjpg4pBuoHvUW4Pc0rzNiE3YA3P-yZiikwZztAdVwf778r13c8xUuMalA2iNg$