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Apollo: : An ML-assisted Real-Time Storage Resource Obse..:

, In: Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing,

Rajesh, Neeraj ; Devarajan, Hariharan ; Garcia, Jaime Cernuda... - p. 147-159 , 2021

Link: https://dl.acm.org/doi/10.1145/3431379.3460640

RT 
T1 <cTitle>Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing</cTitle>: T1 <Title>Apollo:				: An ML-assisted Real-Time Storage Resource Observer</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3460640&Exemplar=1&LAN=DE
				
A1 Rajesh, Neeraj
A1 Devarajan, Hariharan
A1 Garcia, Jaime Cernuda
A1 Bateman, Keith
A1 Logan, Luke
A1 Ye, Jie
A1 Kougkas, Anthony
A1 Sun, Xian-He
PB ACM
YR 2021
K1 hpc cluster monitoring
K1 low latency monitoring
K1 real-time monitoring
K1 resource monitoring
K1 storage monitoring
K1 storage utilization
K1 Computer systems organization
K1 Real-time systems
K1 Real-time system architecture
K1 Information systems
K1 Information storage systems
K1 Record storage systems
K1 Relational storage
K1 Hybrid storage layouts
K1 Data management systems
K1 Data structures
K1 Data access methods
K1 Multidimensional range search
K1 Architectures
K1 Distributed architectures
K1 Client-server architectures
SP 147
OP 159
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3431379.3460640
DO https://dl.acm.org/doi/10.1145/3431379.3460640
SF ELIB - SuUB Bremen

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