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DTSTART;TZID=America/New_York:20241118T122400
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UID:submissions.supercomputing.org_SC24_sess750_ws_indis118@linklings.com
SUMMARY:A Study of a Deterministic Networking Framework for Latency Critic
 al Large Scientific Data Transfers
DESCRIPTION:Dipak Ghosal (University of California, Davis) and Kesheng Wu 
 (Lawrence Berkeley National Laboratory (LBNL))\n\nScientific workflows oft
 en involve large data transfers, which increasingly require completion-tim
 e guarantees.  To support these time-sensitive flows, the Energy Science N
 etwork (ESnet) has implemented on-demand circuits with packet priority, al
 lowing the circuit to be utilized by other traffic when the deadline-sensi
 tive flow is inactive.  We explore a deterministic networking framework de
 signed to support large scientific data transfers with completion guarante
 es.  We consider an ideal network where all nodes are time-synchronized an
 d utilize Cyclic Queueing and Forwarding (CQF) to achieve reliable low-lat
 ency data transfers.   Our results show that the deterministic network arc
 hitecture achieves performance comparable to the dynamic bandwidth reserva
 tion scheme. We believe that a more optimized version of the time-sensitiv
 e networking protocol that exploit multi-path routing could offer better c
 ompletion guarantees than traditional network reservation options while im
 proving overall network bandwidth utilization.\n\nTag: Architecture, Data-
 Intensive, Network, Performance Optimization, Quantum Computing, Security,
  System Administration\n\nRegistration Category: Workshop Reg Pass\n\nSess
 ion Chairs: Akbar Kara (Ciena Corporation, SCinet); Anees Al-Najjar (Oak R
 idge National Laboratory (ORNL), SCinet); and Nik Sultana (Illinois Instit
 ute of Technology, SCinet)\n\n
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