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Quantifying Cloud Performance and Dependability : Taxono..:

Herbst, Nikolas ; Bauer, André ; Kounev, Samuel...
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS). 3 (2018) 4 - p. 1-36 , 2018

Link: https://dl.acm.org/doi/10.1145/3236332

RT Journal
T1 <Title>Quantifying Cloud Performance and Dependability				: Taxonomy, Metric Design, and Emerging Challenges</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3236332&Exemplar=1&LAN=DE
				
A1 Herbst, Nikolas
A1 Bauer, André
A1 Kounev, Samuel
A1 Oikonomou, Giorgos
A1 Eyk, Erwin Van
A1 Kousiouris, George
A1 Evangelinou, Athanasia
A1 Krebs, Rouven
A1 Brecht, Tim
A1 Abad, Cristina L.
A1 Iosup, Alexandru
PB ACM
YR 2018
SN 2376-3639
SN 2376-3647
K1 Metrics
K1 availability
K1 benchmarking
K1 cloud
K1 elasticity
K1 operational risk
K1 performance isolation
K1 performance variability
K1 General and reference
K1 Cross-computing tools and techniques
K1 Software and its engineering
K1 Software organization and properties
K1 Contextual software domains
K1 Software infrastructure
K1 Virtual machines
K1 Software system structures
K1 Distributed systems organizing principles
K1 Cloud computing
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Self-organizing autonomic computing
JF ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)
VO 3
IS 4
SP 1
OP 36
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3236332
DO https://dl.acm.org/doi/10.1145/3236332
SF ELIB - SuUB Bremen

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