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Adaptive Performance Modeling of Data-intensive Workloads f..:

Makrani, Hosein Mohamamdi ; Sayadi, Hossein ; Nazari, Najmeh...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS). 5 (2021) 4 - p. 1-24 , 2021

Link: https://dl.acm.org/doi/10.1145/3442696

RT Journal
T1 <Title>Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3442696&Exemplar=1&LAN=DE
				
A1 Makrani, Hosein Mohamamdi
A1 Sayadi, Hossein
A1 Nazari, Najmeh
A1 Dinakarrao, Sai Mnoj Pudukotai
A1 Sasan, Avesta
A1 Mohsenin, Tinoosh
A1 Rafatirad, Setareh
A1 Homayoun, Houman
PB ACM
YR 2021
SN 2376-3639
SN 2376-3647
K1 Performance
K1 big data
K1 cloud
K1 optimization
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
K1 Cloud computing
K1 Parallel architectures
K1 Multicore architectures
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Kernel methods
K1 Support vector machines
JF ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)
VO 5
IS 4
SP 1
OP 24
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3442696
DO https://dl.acm.org/doi/10.1145/3442696
SF ELIB - SuUB Bremen

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