piwik-script

Intern
Chair of Computer Science II - Software Engineering

Publications

Dissertation oder Abschlussarbeit [ nach oben ]

  • Automatic Identification of Parametric Dependencies for Performance Models. Elflein, Sven; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
    Würzburg Software Engineering Award sponsored by Bosch Rexroth
     
  • Blackbox Learning of Parametric Dependencies for Performance Models from Monitoring Data. Ackermann, Vanessa; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
     
  • Evaluating Approaches for Online Resource Demand Estimation. Krauss, Torsten; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2017).
     
  • Cluster Analysis for Resource Demand Estimation. Schaefers, Karsten; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2017).
     
  • Model-Based Network Analy... - Download
    Model-Based Network Analysis and Optimization. Herrnleben, Stefan; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2017).
    Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB)
     
  • Reliable Resource Demand ... - Download
    Reliable Resource Demand Estimation. Grohmann, Johannes; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2016).
     

Artikel in einem Journal, einer Zeitung oder einem Magazin [ nach oben ]

  • A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Grohmann, Johannes; Herbst, Nikolas; Chalbani, Avi; Arian, Yair; Peretz, Noam; Kounev, Samuel; in Computers (2020). 9(1) 10.
     
  • The SPEC-RG Reference Arc... - Download
    The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. van Eyk, Erwin; Grohmann, Johannes; Eismann, Simon; Bauer, André; Versluis, Laurens; Toader, Lucian; Schmitt, Norbert; Herbst, Nikolas; Abad, Cristina L.; Iosup, Alexandru; in IEEE Internet Computing (2019). 23(6) 7-18.
     
  • Online model learning for... - Download
    Online model learning for self-aware computing infrastructures. Spinner, Simon; Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in Journal of Systems and Software (2019). 147 1 - 16.
     

Artikel in Konferenzband [ nach oben ]

  • To Fail Or Not To Fail: P... - Download
    To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows. Züfle, Marwin; Krupitzer, Christian; Erhard, Florian; Grohmann, Johannes; Kounev, Samuel; in MMB 2020 (2020).
     
  • Predicting the Costs of S... - Download
    Predicting the Costs of Serverless Workflows. Eismann, Simon; Grohmann, Johannes; van Eyk, Erwin; Herbst, Nikolas; Kounev, Samuel; in ICPE'20 (2020).
    Acceptance Rate: 23.4% (15/64)
     
  • An Automated Forecasting ... - Download
    An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. Bauer, André; Züfle, Marwin; Grohmann, Johannes; Schmitt, Norbert; Herbst, Nikolas; Kounev, Samuel; (2020).
     
  • Model-based Performance Predictions for SDN-based Networks: A Case Study. Herrnleben, Stefan; Rygielski, Pitor; Grohmann, Johannes; Eismann, Simon; Hossfeld, Tobias; Kounev, Samuel; in MMB 2020 (2020).
     
  • Monitorless: Predicting P... - Download
    Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. Grohmann, Johannes; Nicholson, Patrick K.; Iglesias, Jesus Omana; Kounev, Samuel; Lugones, Diego; in Middleware 2019 (2019). 149--162.
     
  • Detecting Parametric Depe... - Download
    Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. Grohmann, Johannes; Eismann, Simon; Elflein, Sven; Mazkatli, Manar; von Kistowski, Jóakim; Kounev, Samuel; in MASCOTS '19 (2019).
    Acceptance Rate: 23.8% (29/122)
     
  • Utilizing Clustering to O... - Download
    Utilizing Clustering to Optimize Resource Demand Estimation Approaches. Grohmann, Johannes; Eismann, Simon; Bauer, Andre; Zuefle, Marwin; Herbst, Nikolas; Kounev, Samuel; (2019). 134-139.
     
  • On Learning Parametric De... - Download
    On Learning Parametric Dependencies from Monitoring Data. Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; (2019).
     
  • Predicting Server Power C... - Download
    Predicting Server Power Consumption from Standard Rating Results. von Kistowski, Jóakim; Grohmann, Johannes; Schmitt, Norbert; Kounev, Samuel; in ICPE '19 (2019).
    Full Paper Acceptance Rate: 18.6% (13/70)
     
  • On Learning in Collective... - Download
    On Learning in Collective Self-Adaptive Systems: State of Practice and a 3D Framework. D'Angelo, M.; Gerasimou, S.; Ghahremani, S.; Grohmann, J.; Nunes, I.; Pournaras, E.; Tomforde, S.; (2019). 13-24.
     
  • Integrating Statistical R... - Download
    Integrating Statistical Response Time Models in Architectural Performance Models. Eismann, Simon; Grohmann, Johannes; Walter, Jürgen; von Kistowski, Jóakim; Kounev, Samuel; (2019). 71-80.
    Acceptance Rate: 21,9% (21/96)
     
  • Systematic Search for Opt... - Download
    Systematic Search for Optimal Resource Configurations of Distributed Applications. Bauer, André; Eismann, Simon; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; (2019).
     
  • How is Performance Addres... - Download
    How is Performance Addressed in DevOps? Bezemer, Cor-Paul; Eismann, Simon; Ferme, Vincenzo; Grohmann, Johannes; Heinrich, Robert; Jamshidi, Pooyan; Shang, Weiyi; van Hoorn, André; Villavicencio, Mónica; Walter, Jürgen; Willnecker, Felix; (2019). 45--50.
     
  • The Vision of Self-Aware ... - Download
    The Vision of Self-Aware Performance Models. Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; (2018). 60-63.
     
  • TeaStore: A Micro-Service... - Download
    TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. von Kistowski, Jóakim; Eismann, Simon; Schmitt, Norbert; Bauer, André; Grohmann, Johannes; Kounev, Samuel; in MASCOTS '18 (2018). 223--236.
    Acceptance Rate: 29.5% (23/78)
     
  • A SPEC RG Cloud Group's V... - Download
    A SPEC RG Cloud Group's Vision on the Performance Challenges of FaaS Cloud Architectures. van Eyk, Erwin; Iosup, Alexandru; Abad, Cristina L.; Grohmann, Johannes; Eismann, Simon; in ICPE '18 (2018). 21--24.
     
  • On the Value of Service D... - Download
    On the Value of Service Demand Estimation for Auto-Scaling. Bauer, André; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; (2018).
     
  • Tools for Declarative Per... - Download
    Tools for Declarative Performance Engineering. Walter, Jürgen; Eismann, Simon; Grohmann, Johannes; Okanovic, Dusan; Kounev, Samuel; in ICPE '18 (2018). 53--56.
     
  • TeaStore: A Micro-Service... - Download
    TeaStore: A Micro-Service Reference Application for Cloud Researchers. Eismann, Simon; v. Kistowski, Jóakim; Grohmann, Johannes; Bauer, André; Schmitt, Norbert; Herbst, Nikolas; Kounev, Samuel; (2018). 11-12.
     
  • Black-box Learning of Par... - Download
    Black-box Learning of Parametric Dependencies for Performance Models. Ackermann, Vanessa; Grohmann, Johannes; Eismann, Simon; Kounev, Samuel; in CEUR Workshop Proceedings (2018).
     
  • Using Machine Learning fo... - Download
    Using Machine Learning for Recommending Service Demand Estimation Approaches. Grohmann, Johannes; Herbst, Nikolas; Spinner, Simon; Kounev, Samuel; (2018). 473-480.
     
  • Self-Tuning Resource Dema... - Download
    Self-Tuning Resource Demand Estimation. Grohmann, Johannes; Herbst, Nikolas; Spinner, Simon; Kounev, Samuel; (2017).