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Improving spark application throughput via memory aware tas..:
, In:
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference
,
Marco, Vicent Sanz
;
Taylor, Ben
;
Porter, Barry
. - p. 95-108 , 2017
Link:
https://dl.acm.org/doi/10.1145/3135974.3135984
RT T1 <cTitle>Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference</cTitle>: T1 <Title>Improving spark application throughput via memory aware task co-location : a mixture of experts approach</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3135984&Exemplar=1&LAN=DE A1 Marco, Vicent Sanz A1 Taylor, Ben A1 Porter, Barry A1 Wang, Zheng PB ACM YR 2017 K1 memory management K1 predictive modeling K1 resource modeling K1 task scheduling K1 Theory of computation K1 Design and analysis of algorithms K1 Distributed algorithms K1 Information systems K1 Information systems applications K1 Decision support systems K1 Data analytics K1 General and reference K1 Cross-computing tools and techniques K1 Performance SP 95 OP 108 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3135974.3135984 DO https://dl.acm.org/doi/10.1145/3135974.3135984 SF ELIB - SuUB Bremen
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