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Studying Latency and Throughput Constraints for Geo-Distrib..:

, In: Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing,

Luettgau, Jakob ; Martinez, Heberth ; Tarcea, Glenn... - p. 325-326 , 2023

Link: https://dl.acm.org/doi/10.1145/3588195.3595948

RT 
T1 <cTitle>Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing</cTitle>: T1 <Title>Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3595948&Exemplar=1&LAN=DE
				
A1 Luettgau, Jakob
A1 Martinez, Heberth
A1 Tarcea, Glenn
A1 Scorzelli, Giorgio
A1 Pascucci, Valerio
A1 Taufer, Michela
PB ACM
YR 2023
K1 cloud computing
K1 data democratization
K1 high-performance computing
K1 perfsonar
K1 xrootd
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
K1 Cloud computing
K1 Grid computing
K1 Networks
K1 Network services
K1 Network monitoring
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Network performance evaluation
K1 Information systems
K1 Information retrieval
K1 Search engine architectures and scalability
K1 Distributed retrieval
SP 325
OP 326
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3588195.3595948
DO https://dl.acm.org/doi/10.1145/3588195.3595948
SF ELIB - SuUB Bremen

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