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DTSTART;TZID=America/Chicago:20251116T143500
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UID:submissions.supercomputing.org_SC25_sess221_ws_indis117@linklings.com
SUMMARY:SENSE in Practice: Quantifying the End-to-End Benefits of Intent-B
 ased Bandwidth Reservation for Exascale Science Workflows
DESCRIPTION:Inder Monga (ESnet; Lawrence Berkeley National Laboratory (LBN
 L)); Mazahir Hussain (Korea Institute of Science and Technology Informatio
 n, University of Science and Technology (UST)); Justas Balcas (ESnet; Lawr
 ence Berkeley National Laboratory (LBNL)); Aashay Arora and Diego Davila (
 University of California, San Diego (UCSD)); Buseung Cho (Korea Institute 
 of Science and Technology Information, University  of Science and Technolo
 gy (UST)); Xi Yang (ESnet; Lawrence Berkeley National Laboratory (LBNL)); 
 and Cees De Laat (University of Amsterdam)\n\nThe escalating demands of sc
 ientific collaborations necessitate advanced networking for deterministic,
  secure, and orchestrated services across multiple administrative domains.
  The Software-Defined Network for End-to-end Networked Science at the Exas
 cale (SENSE) paradigm addresses these needs through intent-based networkin
 g and multi-domain orchestration. This paper evaluates SENSE's performance
  on a comprehensive multi-domain testbed, including GNA-G AutoGOLE, the Na
 tional Research Platform (NRP), FABRIC, and production LHC CMS infrastruct
 ure. Our results demonstrate that intent-based service requests are succes
 sfully translated into network configurations, with average provisioning t
 imes of 183 seconds for simple services and 290 seconds for complex multi-
 domain workflows. Performance monitoring confirms that SENSE maintains gua
 ranteed bandwidth allocations, enabling higher-priority data flows to comp
 lete significantly faster than in best-effort scenarios. This capability t
 ransforms the network into a first-class schedulable resource, optimizing 
 scientific workflows by prioritizing data criticality and moving beyond be
 st-effort limitations to achieve predictable and efficient data movement f
 or data-intensive scientific endeavors.\n\nRecording: Livestreamed, Record
 ed\n\nRegistration Category: Technical Program Reg Pass, Workshop Reg Pass
 \n\nSession Chairs: Ezra Kissel (Energy Sciences Network (ESnet)); Rafael 
 Silva-Guimaraes (Federal Institute of Espírito Santo, Department of Inform
 atics); Nik Sultana (Illinois Institute of Technology, SCinet); Cees de La
 at (University of Amsterdam, Lawrence Berkeley National Laboratory (LBNL))
 ; Sonja Filiposka (Ss. Cyril and Methodius Univeristy in Skopje (UKIM) Nor
 th Macedonia); and Akbar Kara (Ciena Corporation, SCinet)\n\n
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