Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM
暂无分享,去创建一个
Tim Menzies | Chin-Jung Hsu | Vivek Nair | Vincent W. Freeh | V. Freeh | T. Menzies | Chin-Jung Hsu | V. Nair
[1] Armando Fox,et al. Fingerprinting the datacenter: automated classification of performance crises , 2010, EuroSys '10.
[2] Wilhelm Hasselbring,et al. Search-based genetic optimization for deployment and reconfiguration of software in the cloud , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[3] Feng Pan,et al. Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications , 2007, IEEE Transactions on Parallel and Distributed Systems.
[4] Randy H. Katz,et al. An Empirical Exploration of Black-Box Performance Models for Storage Systems , 2006, 14th IEEE International Symposium on Modeling, Analysis, and Simulation.
[5] Sven Apel,et al. Using bad learners to find good configurations , 2017, ESEC/SIGSOFT FSE.
[6] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[7] Ben Y. Zhao,et al. Complexity vs. performance: empirical analysis of machine learning as a service , 2017, Internet Measurement Conference.
[8] Don S. Batory,et al. Finding near-optimal configurations in product lines by random sampling , 2017, ESEC/SIGSOFT FSE.
[9] Giuliano Casale,et al. An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems , 2016, 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS).
[10] Kay Ousterhout,et al. Monotasks: Architecting for Performance Clarity in Data Analytics Frameworks , 2017, SOSP.
[11] M. Zuluaga,et al. ε-PAL: an active learning approach to the multi-objective optimization problem , 2016 .
[12] I. Sobol,et al. On quasi-Monte Carlo integrations , 1998 .
[13] Randy H. Katz,et al. Selecting the best VM across multiple public clouds: a data-driven performance modeling approach , 2017, SoCC.
[14] Ion Stoica,et al. Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics , 2016, NSDI.
[15] Valentin Dalibard,et al. BOAT: Building Auto-Tuners with Structured Bayesian Optimization , 2017, WWW.
[16] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.
[17] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[18] E. Anderson. HPL – SSP – 2001 – 4 : Simple table-based modeling of storage devices , 2001 .
[19] Moo-Ryong Ra,et al. Inside-Out: Reliable Performance Prediction for Distributed Storage Systems in the Cloud , 2016, 2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS).
[20] Samuel Kounev,et al. Predictive performance modeling of virtualized storage systems using optimized statistical regression techniques , 2013, ICPE '13.
[21] Tim Menzies,et al. FLASH: A Faster Optimizer for SBSE Tasks , 2017, ArXiv.
[22] Marco Canini,et al. Towards automatic parameter tuning of stream processing systems , 2017, SoCC.
[23] Sven Apel,et al. Faster discovery of faster system configurations with spectral learning , 2017, Automated Software Engineering.
[24] Zi Wang,et al. Max-value Entropy Search for Efficient Bayesian Optimization , 2017, ICML.
[25] Minlan Yu,et al. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics , 2017, NSDI.
[26] Ricardo Bianchini,et al. DeepDive: Transparently Identifying and Managing Performance Interference in Virtualized Environments , 2013, USENIX Annual Technical Conference.
[27] Christos Faloutsos,et al. Storage device performance prediction with CART models , 2004, The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings..
[28] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[29] D. Sculley,et al. Google Vizier: A Service for Black-Box Optimization , 2017, KDD.
[30] Pedro M. Domingos. A few useful things to know about machine learning , 2012, Commun. ACM.