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Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs.

, , and . ICAC, page 265-277. USENIX Association, (2013)

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vPerfGuard: an automated model-driven framework for application performance diagnosis in consolidated cloud environments., , , and . ICPE, page 271-282. ACM, (2013)MLbase: A Distributed Machine-learning System., , , , , and . CIDR, www.cidrdb.org, (2013)Model-Based Runtime Performance Management for Virtualized Applications, , , , , , , and . VMware R&D Innovation Offsite (RADIO), (July 2014)A Runtime Adaptation Framework for Native C and Bytecode Applications., and . ICAC, page 93-104. IEEE Computer Society, (2006)Above the Clouds: A Berkeley View of Cloud Computing, , , , , , , , , and . (2009)Application-driven dynamic vertical scaling of virtual machines in resource pools., , , , , , and . NOMS, page 1-9. IEEE, (2014)Dynamic Adaptation of Temporal Event Correlation for QoS Management in Distributed Systems., , , and . IWQoS, page 290-294. IEEE, (2006)Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters., , , , , and . HotCloud, USENIX Association, (2009)Automatic exploration of datacenter performance regimes., , , , , and . ACDC@ICAC, page 1-6. ACM, (2009)Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs., , and . ICAC, page 265-277. USENIX Association, (2013)