LIMBO

Description

LIMBO is an Eclipse-based tool for handling and instantiating load intensity models based on the Descartes Load Intensity Model (DLIM). LIMBO users can define variable arrival rates for a multitude of purposes, such as custom request time-stamp generation for benchmarking or the re-parametrization of request traces. LIMBO offers an accessible way of editing DLIM instances and extracting them from existing traces. It also supports additional modeling utilities, such as using high level - DLIM (hl-DLIM) parameters for easy creation of new DLIM instances through a model creation wizard.

Requirements

  • Java 1.6 or later
  • Eclipse Kepler or later

Website

http://descartes.tools/limbo

Contributors

  • Jóakim von Kistowksi
  • Nikolas Herbst
  • Andreas Weber

Maintainers

  • Nikolas Herbst, nikolas.herbst(at)uni-wuerzburg.de
  • Jóakim von Kistowksi, joakim.kistowski(at)uni-wuerzburg.de
    University of Würzburg, Chair of Computer Science II
    Am Hubland, 97074 Würzburg, Germany

Version

0.15.04.3015

License

Eclipse Public License (EPL) v1.0

Downloads

Related publications and projects

  • Nikolas Roman Herbst, Samuel Kounev, Andreas Weber, and Henning Groenda. BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments. In Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015), Firenze, Italy, May 18-19, 2015.
  • Jóakim von Kistowski, Nikolas Roman Herbst, Daniel Zoller, Samuel Kounev, and Andreas Hotho. Modeling and Extracting Load Intensity Profiles. In Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015), Firenze, Italy, May 18-19, 2015.
  • Jóakim von Kistowski, Nikolas Roman Herbst, and Samuel Kounev. Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors. In Proceedings of the Symposium on Software Performance 2014, Stuttgart, Germany, November 2014, pages 131-140. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. November 2014.
  • Lehrig, Sebastian, and Matthias Becker. “Approaching the Cloud: Using Palladio for Scalability, Elasticity, and Efficiency Analyses”. In Proceedings of the Symposium on Software Performance 2014, Stuttgart, Germany, November 2014.
  • Jóakim von Kistowski, Nikolas Roman Herbst, and Samuel Kounev. LIMBO: A Tool For Modeling Variable Load Intensities (Demo Paper). In Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014), Dublin, Ireland, March 22-26, 2014, ICPE '14, pages 225-226. ACM, New York, NY, USA. March 2014.
  • Jóakim von Kistowski, Nikolas Roman Herbst, and Samuel Kounev. Modeling Variations in Load Intensity over Time. In Proceedings of the 3rd International Workshop on Large-Scale Testing (LT 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014), Dublin, Ireland, March 22, 2014, pages 1-4. ACM, New York, NY, USA. March 2014.
  • Andreas Weber, Nikolas Roman Herbst, Henning Groenda, and Samuel Kounev. Towards a Resource Elasticity Benchmark for Cloud Environments. In Proceedings of the 2nd International Workshop on Hot Topics in Cloud Service Scalability (HotTopiCS 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014), Dublin, Ireland, March 22, 2014, HotTopiCS '14, pages 5:1-5:8. ACM, New York, NY, USA. March 2014.
  • Jóakim von Kistowski. Modeling Variations in Load Intensity Profiles. Master Thesis, Karlsruhe Institute of Technology (KIT), Am Fasanengarten 5, 76131 Karlsruhe, Germany, March 2014. Gesellschaft zur Förderung des Forschungstransfers (GFFT) Prize "Best Master Thesis".
  • Andreas Weber. Resource Elasticity Benchmarking in Cloud Environments. Master Thesis, Karlsruhe Institute of Technology (KIT), Am Fasanengarten 5, 76131 Karlsruhe, Germany, August 2014.