Publications

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

• 
  Towards Self-Aware Multirotor Formations. Kaiser, Dennis; Lesch, Veronika; Rothe, Julian; Strohmeier, Michael; Spiess, Florian; Krupitzer, Christian; Montenegro, Sergio; Kounev, Samuel; in Computers (2020). 9(7)

  Special Issue on Self-Aware Computing
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @article{Kaiser2020Towards, author = {Kaiser, Dennis and Lesch, Veronika and Rothe, Julian and Strohmeier, Michael and Spiess, Florian and Krupitzer, Christian and Montenegro, Sergio and Kounev, Samuel}, journal = {Computers}, keywords = {Internet_of_Things myown Cyber-Physical_Systems Design_of_software_and_systems Simulation Analytical_and_simulation-based_analysis descartes Self-aware-computing Intelligent_Transportation_Systems}, month = {Februar}, note = {Special Issue on Self-Aware Computing}, number = 7, publisher = {MDPI}, title = {{Towards Self-Aware Multirotor Formations}}, volume = 9, year = 2020 }
  %0 Journal Article %1 Kaiser2020Towards %A Kaiser, Dennis %A Lesch, Veronika %A Rothe, Julian %A Strohmeier, Michael %A Spiess, Florian %A Krupitzer, Christian %A Montenegro, Sergio %A Kounev, Samuel %D 2020 %I MDPI %J Computers %N 7 %T Towards Self-Aware Multirotor Formations %V 9

Artikel in Konferenzband [ nach oben ]

• 
  A Modular Simulation Framework for Analyzing Platooning Coordination. Krupitzer, Christian; Lesch, Veronika; Pfannemüller, Martin; Becker, Christian; Segata, Michele; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{KrLePfBeSe2019_TOPCars, author = {Krupitzer, Christian and Lesch, Veronika and Pfannem{ü}ller, Martin and Becker, Christian and Segata, Michele}, booktitle = {Proceedings of the 1st {ACM} Workshop on Technologies, mOdels, and Protocols for Cooperative Connected Cars (TOP-Cars), Colocated with ACM MobiHoc 2019}, keywords = {Tool Internet_of_Things myown Cyber-Physical_Systems Analytical_and_simulation-based_analysis Simulation descartes Intelligent_Transportation_Systems}, month = {July}, publisher = {ACM}, title = {{A Modular Simulation Framework for Analyzing Platooning Coordination}}, year = 2019 }
  %0 Conference Paper %1 KrLePfBeSe2019_TOPCars %A Krupitzer, Christian %A Lesch, Veronika %A Pfannemüller, Martin %A Becker, Christian %A Segata, Michele %B Proceedings of the 1st ACM Workshop on Technologies, mOdels, and Protocols for Cooperative Connected Cars (TOP-Cars), Colocated with ACM MobiHoc 2019 %D 2019 %I ACM %T A Modular Simulation Framework for Analyzing Platooning Coordination
• 
  Autonomic Forecasting Method Selection: Examination and Ways Ahead. Züfle, Marwin; Bauer, André; Lesch, Veronika; Krupitzer, Christian; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{ZuBaLeKrHeKoCu2019-ICAC-Autonomic, author = {Z{ü}fle, Marwin and Bauer, Andr{é} and Lesch, Veronika and Krupitzer, Christian and Herbst, Nikolas and Kounev, Samuel and Curtef, Valentin}, booktitle = {Proceedings of the 16th {IEEE} International Conference on Autonomic Computing (ICAC)}, keywords = {Statistical_estimation_and_machine_learning Internet_of_Things myown Performance Online_monitoring_and_forecasting descartes Prediction PRISMA}, month = {June}, publisher = {IEEE}, title = {{Autonomic Forecasting Method Selection: Examination and Ways Ahead}}, year = 2019 }
  %0 Conference Paper %1 ZuBaLeKrHeKoCu2019-ICAC-Autonomic %A Züfle, Marwin %A Bauer, André %A Lesch, Veronika %A Krupitzer, Christian %A Herbst, Nikolas %A Kounev, Samuel %A Curtef, Valentin %B Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) %D 2019 %I IEEE %T Autonomic Forecasting Method Selection: Examination and Ways Ahead
• 
  Chamulteon: Coordinated Auto-Scaling of Micro-Services. Bauer, André; Lesch, Veronika; Versluis, Laurens; Ilyushkin, Alexey; Herbst, Nikolas; Kounev, Samuel; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{BaLeVeIlHeKo2019-ICDCS-Chamulteon, author = {Bauer, Andr{é} and Lesch, Veronika and Versluis, Laurens and Ilyushkin, Alexey and Herbst, Nikolas and Kounev, Samuel}, booktitle = {Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS)}, keywords = {myown Metrics_and_benchmarking_methodologies Resource_management Online_monitoring_and_forecasting descartes Self-aware-computing Cloud Elasticity Chameleon SPEC}, month = {July}, title = {Chamulteon: Coordinated Auto-Scaling of Micro-Services}, year = 2019 }
  %0 Conference Paper %1 BaLeVeIlHeKo2019-ICDCS-Chamulteon %A Bauer, André %A Lesch, Veronika %A Versluis, Laurens %A Ilyushkin, Alexey %A Herbst, Nikolas %A Kounev, Samuel %B Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS) %D 2019 %T Chamulteon: Coordinated Auto-Scaling of Micro-Services
• 
  Performance Oriented Dynamic Bypassing for Intrusion Detection Systems. Iffländer, Lukas; Stoll, Jonathan; Rawtani, Nishant; Lesch, Veronika; Lange, Klaus-Dieter; Kounev, Samuel; in ICPE '19 (2019). 159--166.
  [ Abstract ] [ BibTeX ] [ EndNote ] [ URL ] [ Download ]
   
  Attacks on software systems are becoming more and more frequent, aggressive and sophisticated. With the changing threat landscape, in 2018, organizations are looking at when they will be attacked, not if. Intrusion Detection Systems (IDSs) can help in defending against these attacks. The systems that host IDSs require extensive computing resources as IDSs tend to detect attacks under overloaded conditions wrongfully. With the end of Moore's law and the growing adoption of Internet of Things, designers of security systems can no longer expect processing power to keep up the pace with them. This limitation requires ways to increase the performance of these systems without adding additional compute power. In this work, we present two dynamic and a static approach to bypass IDS for traffic deemed benign. We provide its prototype implementation and evaluate our solution. Our evaluation shows promising results. Performance is increased up to the level of a system without an IDS. Attack detection is within the margin of error from the 100% rate. However, our findings show that dynamic approaches perform best when using software switches. The use of a hardware switch reduces the detection rate and performance significantly.
  @inproceedings{Ifflaender2019_PerformanceOrientedDynamicBypassingforIntrusionDetectionSystems, abstract = {Attacks on software systems are becoming more and more frequent, aggressive and sophisticated. With the changing threat landscape, in 2018, organizations are looking at when they will be attacked, not if. Intrusion Detection Systems (IDSs) can help in defending against these attacks. The systems that host IDSs require extensive computing resources as IDSs tend to detect attacks under overloaded conditions wrongfully. With the end of Moore's law and the growing adoption of Internet of Things, designers of security systems can no longer expect processing power to keep up the pace with them. This limitation requires ways to increase the performance of these systems without adding additional compute power. In this work, we present two dynamic and a static approach to bypass IDS for traffic deemed benign. We provide its prototype implementation and evaluate our solution. Our evaluation shows promising results. Performance is increased up to the level of a system without an IDS. Attack detection is within the margin of error from the 100% rate. However, our findings show that dynamic approaches perform best when using software switches. The use of a hardware switch reduces the detection rate and performance significantly.}, address = {New York, NY, USA}, author = {Iffl{ä}nder, Lukas and Stoll, Jonathan and Rawtani, Nishant and Lesch, Veronika and Lange, Klaus-Dieter and Kounev, Samuel}, booktitle = {Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering}, keywords = {myown publication_type_shortpaper Metrics_and_benchmarking_methodologies Resource_management Networking Performance Security descartes Self-aware-computing EvIDencE Self-adaptive-systems Optimization}, pages = {159–166}, publisher = {ACM}, series = {ICPE '19}, title = {{Performance Oriented Dynamic Bypassing for Intrusion Detection Systems}}, year = 2019 }
  %0 Conference Paper %1 Ifflaender2019_PerformanceOrientedDynamicBypassingforIntrusionDetectionSystems %A Iffländer, Lukas %A Stoll, Jonathan %A Rawtani, Nishant %A Lesch, Veronika %A Lange, Klaus-Dieter %A Kounev, Samuel %B Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering %C New York, NY, USA %D 2019 %I ACM %P 159--166 %T Performance Oriented Dynamic Bypassing for Intrusion Detection Systems %U http://doi.acm.org/10.1145/3297663.3310313 %X Attacks on software systems are becoming more and more frequent, aggressive and sophisticated. With the changing threat landscape, in 2018, organizations are looking at when they will be attacked, not if. Intrusion Detection Systems (IDSs) can help in defending against these attacks. The systems that host IDSs require extensive computing resources as IDSs tend to detect attacks under overloaded conditions wrongfully. With the end of Moore's law and the growing adoption of Internet of Things, designers of security systems can no longer expect processing power to keep up the pace with them. This limitation requires ways to increase the performance of these systems without adding additional compute power. In this work, we present two dynamic and a static approach to bypass IDS for traffic deemed benign. We provide its prototype implementation and evaluate our solution. Our evaluation shows promising results. Performance is increased up to the level of a system without an IDS. Attack detection is within the margin of error from the 100% rate. However, our findings show that dynamic approaches perform best when using software switches. The use of a hardware switch reduces the detection rate and performance significantly.
• 
  Emerging Self-Integration through Coordination of Autonomous Adaptive Systems. Lesch, Veronika; Krupitzer, Christian; Tomforde, Sven; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{LeKrTo2019_SISSY, author = {Lesch, Veronika and Krupitzer, Christian and Tomforde, Sven}, booktitle = {Proceedings of the 4th {IEEE} International Workshops on Foundations and Applications of Self* Systems, FAS*W@ICAC/SASO 2019}, keywords = {Internet_of_Things myown Cyber-Physical_Systems descartes Self-aware-computing Self-adaptive-systems}, month = {June}, publisher = {IEEE}, title = {{Emerging Self-Integration through Coordination of Autonomous Adaptive Systems}}, year = 2019 }
  %0 Conference Paper %1 LeKrTo2019_SISSY %A Lesch, Veronika %A Krupitzer, Christian %A Tomforde, Sven %B Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W@ICAC/SASO 2019 %D 2019 %I IEEE %T Emerging Self-Integration through Coordination of Autonomous Adaptive Systems
• 
  Multi-objective Optimisation in Hybrid Collaborating Adaptive Systems. Lesch, Veronika; Krupitzer, Christian; Tomforde, Sven; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @inproceedings{LeKrTo2019, author = {Lesch, Veronika and Krupitzer, Christian and Tomforde, Sven}, booktitle = {Proceedings of the 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS), co-located with 32nd GI/ITG ARCS 2019}, keywords = {Internet_of_Things myown descartes Multi-criteria_optimization Self-adaptive-systems Intelligent_Transportation_Systems Optimization}, month = {May}, publisher = {Gesellschaft fuer Informatik (GI)}, title = {{Multi-objective Optimisation in Hybrid Collaborating Adaptive Systems}}, year = 2019 }
  %0 Conference Paper %1 LeKrTo2019 %A Lesch, Veronika %A Krupitzer, Christian %A Tomforde, Sven %B Proceedings of the 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS), co-located with 32nd GI/ITG ARCS 2019 %D 2019 %I Gesellschaft fuer Informatik (GI) %T Multi-objective Optimisation in Hybrid Collaborating Adaptive Systems
• 
  FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. Lesch, Veronika; Bauer, André; Herbst, Nikolas; Kounev, Samuel; (2018).

  Full Paper Acceptance Ratio: 23,7%
  [ BibTeX ] [ EndNote ] [ URL ] [ Download ]
   
  @inproceedings{LeBaHeKo-ICPE18-FOX-AS-COST, address = {New York, NY, USA}, author = {Lesch, Veronika and Bauer, Andr{é} and Herbst, Nikolas and Kounev, Samuel}, booktitle = {Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018)}, keywords = {myown Resource_management Performance descartes Prediction Elasticity Optimization Tool Online_monitoring_and_forecasting publication_type_fullpaper Self-aware-computing Cloud BUNGEE}, month = {April}, note = {Full Paper Acceptance Ratio: 23,7%}, publisher = {ACM}, title = {{FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds}}, year = 2018 }
  %0 Conference Paper %1 LeBaHeKo-ICPE18-FOX-AS-COST %A Lesch, Veronika %A Bauer, André %A Herbst, Nikolas %A Kounev, Samuel %B Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018) %C New York, NY, USA %D 2018 %I ACM %T FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds %U https://doi.org/10.1145/3184407.3184415

Report [ nach oben ]

• 
  A Survey on Predictive Maintenance for Industry 4.0 Krupitzer, Christian; Wagenhals, Tim; Züfle, Marwin; Lesch, Veronika; Schäfer, Dominik; Mozaffarin, Amin; Edinger, Janick; Becker, Christian; Kounev, Samuel; (2020).
  [ BibTeX ] [ EndNote ] [ URL ] [ Download ]
   
  @techreport{Krupitzer2020ASurveyPdM, author = {Krupitzer, Christian and Wagenhals, Tim and Z{ü}fle, Marwin and Lesch, Veronika and Sch{ä}fer, Dominik and Mozaffarin, Amin and Edinger, Janick and Becker, Christian and Kounev, Samuel}, institution = {Universit{ä}t W{ü}rzburg and University of Mannheim and Syntax Systems GmbH and MOZYS Engineering GmbH}, journal = {arXiv}, keywords = {Internet_of_Things myown Survey Cyber-Physical_Systems Online_monitoring_and_forecasting descartes Prediction Industry_4_0 Reliability}, month = {Feb}, title = {{A Survey on Predictive Maintenance for Industry 4.0}}, year = 2020 }
  %0 Report %1 Krupitzer2020ASurveyPdM %A Krupitzer, Christian %A Wagenhals, Tim %A Züfle, Marwin %A Lesch, Veronika %A Schäfer, Dominik %A Mozaffarin, Amin %A Edinger, Janick %A Becker, Christian %A Kounev, Samuel %D 2020 %J arXiv %T A Survey on Predictive Maintenance for Industry 4.0 %U https://arxiv.org/abs/2002.08224
• 
  A Survey on Human Machine Interaction in Industry 4.0 Krupitzer, Christian; Müller, Sebastian; Lesch, Veronika; Züfle, Marwin; Edinger, Janick; Lemken, Alexander; Schäfer, Dominik; Kounev, Samuel; Becker, Christian; (2020).
  [ BibTeX ] [ EndNote ] [ URL ] [ Download ]
   
  @techreport{Krupitzer2020ASurvey, author = {Krupitzer, Christian and M{ü}ller, Sebastian and Lesch, Veronika and Z{ü}fle, Marwin and Edinger, Janick and Lemken, Alexander and Sch{ä}fer, Dominik and Kounev, Samuel and Becker, Christian}, institution = {Universit{ä}t W{ü}rzburg and University of Mannheim and ioxp GmbH and Syntax Systems GmbH}, journal = {arXiv}, keywords = {myown Survey descartes Industry_4_0}, month = {Feb}, title = {{A Survey on Human Machine Interaction in Industry 4.0}}, year = 2020 }
  %0 Report %1 Krupitzer2020ASurvey %A Krupitzer, Christian %A Müller, Sebastian %A Lesch, Veronika %A Züfle, Marwin %A Edinger, Janick %A Lemken, Alexander %A Schäfer, Dominik %A Kounev, Samuel %A Becker, Christian %D 2020 %J arXiv %T A Survey on Human Machine Interaction in Industry 4.0 %U https://arxiv.org/abs/2002.01025

Sonstiges [ nach oben ]

• 
  Please Obey My Plan: How to Optimise Decentralised Self-Adaptive Systems. Lesch, Veronika; Krupitzer, Christian; Tomforde, Sven; (2019).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @misc{talk-Lesch-SelPhyS19, author = {Lesch, Veronika and Krupitzer, Christian and Tomforde, Sven}, howpublished = {Talk at Workshop on Self-Awareness in Cyber-Physical Systems 2019}, keywords = {Internet_of_Things myown Cyber-Physical_Systems se2_talk descartes Multi-criteria_optimization Talks Self-adaptive-systems Optimization}, month = {April}, title = {{Please Obey My Plan: How to Optimise Decentralised Self-Adaptive Systems}}, year = 2019 }
  %0 Generic %1 talk-Lesch-SelPhyS19 %A Lesch, Veronika %A Krupitzer, Christian %A Tomforde, Sven %D 2019 %T Please Obey My Plan: How to Optimise Decentralised Self-Adaptive Systems
• 
  Towards Self-Aware Industry 4.0 using a Layered Meta-Model. Lesch, Veronika; (2018).
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @misc{talk-Lesch-SelPhyS, author = {Lesch, Veronika}, howpublished = {Talk at Workshop on Self-Awareness in Cyber-Physical Systems 2018}, keywords = {myown Performance se2_talk descartes Meta-models Talks Self-adaptive-systems Optimization}, month = {April}, title = {{Towards Self-Aware Industry 4.0 using a Layered Meta-Model}}, year = 2018 }
  %0 Generic %1 talk-Lesch-SelPhyS %A Lesch, Veronika %D 2018 %T Towards Self-Aware Industry 4.0 using a Layered Meta-Model

Dissertation oder Abschlussarbeit [ nach oben ]

• 
  Self-Aware Multidimensional Auto-Scaling. Lesch, Veronika; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2017).

  Würzburg Software Engineering Award sponsored by Bosch Rexroth
  [ BibTeX ] [ EndNote ] [ Download ]
   
  @mastersthesis{Lesch2017Self-Aware, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Lesch, Veronika}, keywords = {Thesis_supervised_by_SE_member myown Resource_management Performance descartes Thesis_supervised_by_Andre_Bauer Elasticity Chameleon se2_mastersthesis Self-aware-computing Cloud BUNGEE Supervised_by_Nikolas_Herbst Application_quality_of_service_management Virtualization}, month = {September}, note = {<b>W{ü}rzburg Software Engineering Award sponsored by Bosch Rexroth</b>}, school = {University of W{ü}rzburg}, title = {{Self-Aware Multidimensional Auto-Scaling}}, type = {{Master Thesis}}, year = 2017 }
  %0 Thesis %1 Lesch2017Self-Aware %A Lesch, Veronika %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2017 %T Self-Aware Multidimensional Auto-Scaling