Grouping: [TypesYears 

Peer-Reviewed Journal and Magazine Articles

[2] Simon Spinner, Johannes Grohmann, Simon Eismann, and Samuel Kounev. Online model learning for self-aware computing infrastructures. Journal of Systems and Software, 147:1 -- 16, 2019. [ bib | abstract  | pdf  | DOI  | http  ]
[1] Simon Spinner, Giuliano Casale, Fabian Brosig, and Samuel Kounev. Evaluating Approaches to Resource Demand Estimation. Performance Evaluation, 92:51 -- 71, October 2015, Elsevier B.V. [ bib | abstract  | pdf  | DOI  | http  ]

Peer-Reviewed International Conference, Workshop Papers, and Book Chapters

[9] Johannes Grohmann, Simon Eismann, Andre Bauer, Marwin Zuefle, Nikolas Herbst, and Samuel Kounev. Utilizing Clustering to Optimize Resource Demand Estimation Approaches. In In Proceeding of 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) as part of FAS*(IEEE ICAC/SASO) conferences companion, Umea, Sweden, June 2019, pages 134--139. [ bib | abstract  | pdf  | slides  | DOI  ]
[8] Johannes Grohmann, Nikolas Herbst, Simon Spinner, and Samuel Kounev. Using Machine Learning for Recommending Service Demand Estimation Approaches (Position Paper). In Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018), March 2018, pages 473--480. INSTICC, SciTePress. March 2018. [ bib | pdf  | slides  | DOI  ]
[7] André Bauer, Johannes Grohmann, Nikolas Herbst, and Samuel Kounev. On the Value of Service Demand Estimation for Auto-Scaling. In Proceedings of 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018), Erlangen, Germany, February 26--28, 2018. Springer. February 2018. [ bib | pdf  | slides  ]
[6] Johannes Grohmann, Nikolas Herbst, Simon Spinner, and Samuel Kounev. Self-Tuning Resource Demand Estimation (Short Paper). In Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), Columbus, OH, July 17--21, 2017. [ bib | pdf  | slides  | DOI  ]
[5] André Bauer, Nikolas Herbst, and Samuel Kounev. Design and Evaluation of a Proactive, Application-Aware Auto-Scaler (Tutorial Paper). In Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017), L'Aquila, Italy, April 22, 2017. [ bib | pdf  | slides  | DOI  ]
[4] Simon Spinner, Jürgen Walter, and Samuel Kounev. A Reference Architecture for Online Performance Model Extraction in Virtualized Environments. In Proceedings of the 2016 Workshop on Challenges in Performance Methods for Software Development (WOSP-C'16) co-located with 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016), Delft, the Netherlands, March 12, 2016. [ bib | abstract  | pdf  | slides  ]
[3] Giuliano Casale, Simon Spinner, and Weikun Wang. Automated Parameterization of Performance Models from Measurements (Tutorial Paper). In Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016), Delft, the Netherlands, March 12, 2016. [ bib | abstract  | pdf  ]
[2] Felix Willnecker, Markus Dlugi, Andreas Brunnert, Simon Spinner, Samuel Kounev, and Helmut Krcmar. Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques. In Computer Performance Engineering - Proceedings of the 12th European Workshop (EPEW 2015), Marta Beltrán, William Knottenbelt, and Jeremy Bradley, editors, Madrid, Spain, August 2015, volume 9272 of Lecture Notes in Computer Science, pages 115--129. Springer. August 2015. [ bib | abstract  | pdf  | DOI  ]
[1] Simon Spinner, Giuliano Casale, Xiaoyun Zhu, and Samuel Kounev. LibReDE: A Library for Resource Demand Estimation (Demo Paper). In Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014), Dublin, Ireland, March 22--26, 2014, pages 227--228. ACM Press, New York, NY, USA. March 2014. [ bib | abstract  | pdf  | DOI  | http  ]

Talks

[4] André Bauer. Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. Talk at HotCloudperf 2019, June 2019. [ bib | slides  ]
[3] André Bauer. Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism. Experience Talk at SSP 2016, November 2016. [ bib | slides  ]
[2] André Bauer. Chameleon: Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism. Invited Talk, Spec Research - Cloud Working Group, October 2016. [ bib | slides  ]
[1] Simon Spinner, and Jürgen Walter. LibReDE: A Library for Resource Demand Estimation. Technical Talk at Symposion on Software Performance (SOSP) 2014, November 2014. [ bib | slides  ]

Theses

[5] Torsten Krauss. Evaluating Approaches for Online Resource Demand Estimation. Master Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, September 2017. [ bib | pdf  | slides  ]
[4] Karsten Schaefers. Cluster Analysis for Resource Demand Estimation. BachelorThesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, August 2017. [ bib | pdf  | slides  ]
[3] Johannes Grohmann. Reliable Resource Demand Estimation. Master Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, October 2016. [ bib | abstract  | pdf  | slides  ]
[2] André Bauer. Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism. Master Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Septembter 2016. [ bib | abstract  | pdf  | slides  ]
[1] Simon Spinner. Evaluating Approaches to Resource Demand Estimation. Master's thesis, Karlsruhe Institute of Technology (KIT), Am Fasanengarten 5, 76131 Karlsruhe, Germany, 7 2011. Best Graduate Award from the Faculty of Informatics. [ bib | abstract  | pdf  ]