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h-Fair : asymptotic scheduling of heavy workloads in het..:

, In: Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing,

Postoaca, Andrei Vlad ; Pop, Florin ; Prodan, Radu - p. 366-369 , 2018

Link: https://dl.acm.org/doi/10.1109/CCGRID.2018.00058

RT 
T1 <cTitle>Proceedings of the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing</cTitle>: T1 <Title>h-Fair				: asymptotic scheduling of heavy workloads in heterogeneous data centers</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3307549&Exemplar=1&LAN=DE
				
A1 Postoaca, Andrei Vlad
A1 Pop, Florin
A1 Prodan, Radu
PB IEEE Press
YR 2018
K1 Google workload trace
K1 big data
K1 data centers
K1 fair scheduling
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Scheduling algorithms
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Distributed systems organizing principles
K1 Software creation and management
K1 Software verification and validation
K1 Software defect analysis
K1 Online algorithms
K1 Online learning algorithms
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
SP 366
OP 369
LK http://dx.doi.org/https://dl.acm.org/doi/10.1109/CCGRID.2018.00058
DO https://dl.acm.org/doi/10.1109/CCGRID.2018.00058
SF ELIB - SuUB Bremen

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