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DTSTAMP:20250626T233527Z
LOCATION:B302-B305
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UID:submissions.supercomputing.org_SC24_sess533_post176@linklings.com
SUMMARY:Exploring DAOS as a Burst Buffer for a 100 Gbps DAQ Real-Time Stre
 aming System
DESCRIPTION:Xinxin Mei, Graham Heyes, Vardan Gyurjyan, Carl Timmer, Michae
 l Goodrich, Amitoj Singh, and Ilya Baldin (Thomas Jefferson National Accel
 erator Facility)\n\nWe present an experimental evaluation of a burst buffe
 r for a real-time DAQ streaming system designed to transmit instrument dat
 a to remote data centers. The system is based on EJ-FAT, a load balancing 
 system capable of Nx 100Gbps streams, distributing data from event sources
  to processing nodes. We explore applying the DAOS system as a burst buffe
 r to serve a number of purposes: improve resiliency, elasticity and add ne
 w functions into the processing pipeline. In the evaluation a sender trans
 mits events over a 100Gbps network to a receiver integrated with DAOS to s
 tore the reassembled events using DAOS APIs. We evaluate the system for po
 ssible bottlenecks and provide end-to-end evaluation with a burst buffer u
 sing DAOS storage abstractions. We show that a receiver node can support 3
 8.1 Gbps. This proves the viability of our approach and allows us to exten
 d this work to investigate scale-out properties and new streaming optimiza
 tions.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\
 n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander University, Erlangen-
 Nuremberg; Erlangen National High Performance Computing Center); Sally Ell
 ingson (University of Kentucky); and Alan Sussman (University of Maryland)
 \n\n
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