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HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems.

, , and . SysML, USENIX Association, (2008)

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Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization., , , , , , , , , and 1 other author(s). ICAC, page 89-100. IEEE Computer Society, (2005)Retro: Targeted Resource Management in Multi-tenant Distributed Systems., , , and . NSDI, page 589-603. USENIX Association, (2015)The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements., , , , , and . FAST, page 163-176. USENIX, (2011)Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters., , , , , and . HotCloud, USENIX Association, (2009)Steel: Simplified Development and Deployment of Edge-Cloud Applications., , , and . HotCloud, USENIX Association, (2018)Overview of the workshop on managing large-scale systems via the analysis of system logs and the application of machine learning techniques.. Operating Systems Review, 45 (3): 20-22 (2011)HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems., , and . SysML, USENIX Association, (2008)Chameleon: scalable adaptation of video analytics., , , , and . SIGCOMM, page 253-266. ACM, (2018)2DFQ: Two-Dimensional Fair Queuing for Multi-Tenant Cloud Services., , , , and . SIGCOMM, page 144-159. ACM, (2016)Surviving failures in bandwidth-constrained datacenters., , , , , and . SIGCOMM, page 431-442. ACM, (2012)