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Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling., and . WWW, page 1759-1770. ACM, (2019)A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation., , , and . LREC, European Language Resources Association (ELRA), (2018)Leveraging Queueing Theory and OS Profiling to Reduce Application Latency., and . Middleware Tutorials, page 1-5. ACM, (2019)Adaptive, Model-driven Autoscaling for Cloud Applications., , , , and . ICAC, page 57-64. USENIX Association, (2014)Database Summarization and Publishing in Wireless Environments., and . ICDCN, volume 4308 of Lecture Notes in Computer Science, page 342-348. Springer, (2006)Using Predictions in Online Optimization: Looking Forward with an Eye on the Past., , , , and . SIGMETRICS, page 193-206. ACM, (2016)Optimal power allocation in server farms., , , and . SIGMETRICS/Performance, page 157-168. ACM, (2009)The case for sleep states in servers., , and . HotPower@SOSP, page 2:1-2:5. ACM, (2011)Empirical Analysis and Modeling of Compute Times of CNN Operations on AWS Cloud., and . IISWC, page 181-192. IEEE, (2020)UIE: User-Centric Interference Estimation for Cloud Applications., , , and . IC2E, page 119-122. IEEE Computer Society, (2016)