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ORCIDSamuel Kounev
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- affiliation: University of Würzburg, Germany
- affiliation (former): Karlsruhe Institute of Technology, Germany
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2020 – today
- 2021
[j38]Veronika Lesch, Christian Krupitzer, Kevin Stubenrauch, Nico Keil, Christian Becker, Samuel Kounev, Michele Segata
:
A comparison of mechanisms for compensating negative impacts of system integration. Future Gener. Comput. Syst. 116: 117-131 (2021)- [j37]Johannes Grohmann, Simon Eismann, André Bauer, Simon Spinner, Johannes Blum, Nikolas Herbst, Samuel Kounev:
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. ACM Trans. Auton. Adapt. Syst. 15(2): 6:1-6:31 (2021) - [c163]Samuel Kounev:
The Science of Systems Benchmarking. CLOSER 2021: 17 - [c162]Veronika Lesch, Marius Hadry, Samuel Kounev, Christian Krupitzer:
Utility-based Vehicle Routing Integrating User Preferences. PerCom Workshops 2021: 263-268 - [c161]Nils Finke, Marisa Mohr, Alexander Lontke, Marwin Züfle, Samuel Kounev, Ralf Möller:
Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. RCIS 2021: 189-204 - [c160]Samuel Kounev:
A New Course on Systems Benchmarking - For Scientists and Engineers. ICPE (Companion) 2021: 127 - [c159]Johannes Grohmann, Martin Straesser, Avi Chalbani, Simon Eismann, Yair Arian, Nikolas Herbst, Noam Peretz, Samuel Kounev:
SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. ICPE 2021: 165-176 - [c158]Norbert Schmitt, Klaus-Dieter Lange, Sanjay Sharma, Aaron Cragin, David Reiner, Samuel Kounev:
SPEC - Spotlight on the International Standards Group (ISG). ICPE (Companion) 2021: 167-168 - [c157]Jörg Domaschka, Mark Leznik, Daniel Seybold, Simon Eismann, Johannes Grohmann, Samuel Kounev:
Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper. ICPE (Companion) 2021: 175-178 - [c156]Norbert Schmitt, Richard Vobl, Andreas Brunnert, Samuel Kounev:
Towards a Benchmark for Software Resource Efficiency. ICPE (Companion) 2021: 179-182 - [c155]André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Libra: A Benchmark for Time Series Forecasting Methods. ICPE 2021: 189-200 - [c154]Norbert Schmitt, Klaus-Dieter Lange, Sanjay Sharma, Nishant Rawtani, Carl Ponder, Samuel Kounev:
The SPECpowerNext Benchmark Suite, its Implementation and New Workloads from a Developer's Perspective. ICPE 2021: 225-232 - [c153]Thomas Prantl, Peter Ten, Lukas Iffländer, Stefan Herrnleben, Alexandra Dmitrienko, Samuel Kounev, Christian Krupitzer:
Towards a Group Encryption Scheme Benchmark: A View on Centralized Schemes with Focus on IoT. ICPE 2021: 233-240 - [c152]Thomas Prantl, Lukas Iffländer, Stefan Herrnleben, Simon Engel, Samuel Kounev, Christian Krupitzer:
Performance Impact Analysis of Securing MQTT Using TLS. ICPE 2021: 241-248 - [i11]Simon Eismann, Diego Elias Costa, Lizhi Liao, Cor-Paul Bezemer, Weiyi Shang, André van Hoorn, Samuel Kounev:
A Case Study on the Stability of Performance Tests for Serverless Applications. CoRR abs/2107.13320 (2021) - 2020
- [b2]Samuel Kounev, Klaus-Dieter Lange, Jóakim von Kistowski:
Systems Benchmarking - For Scientists and Engineers. Springer 2020, ISBN 978-3-030-41704-8, pp. 1-421 - [j36]Dennis Kaiser, Veronika Lesch, Julian Rothe, Michael Strohmeier, Florian Spieß, Christian Krupitzer, Sergio Montenegro, Samuel Kounev:
Towards Self-Aware Multirotor Formations. Comput. 9(1): 7 (2020) - [j35]Johannes Grohmann, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev:
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. Comput. 9(1): 10 (2020) - [j34]André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev:
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [c151]Andre Greubel, Steffen Pohl, Samuel Kounev:
Quantifying measurement quality and load distribution in Tor. ACSAC 2020: 129-140 - [c150]Lukas Iffländer, Lukas Beierlieb, Nicolas Fella, Samuel Kounev, Nishant Rawtani, Klaus-Dieter Lange:
Implementing Attack-aware Security Function Chain Reordering. ACSOS Companion 2020: 194-199 - [c149]Lukas Iffländer, Hayreddin Ciner, Nicolas Fella, Samuel Kounev, Nishant Rawtani, Klaus-Dieter Lange:
Architecture for a Dynamic Security Service Function Chain Reordering Framework. ACSOS Companion 2020: 232-233 - [c148]Marwin Züfle, Samuel Kounev:
A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. FedCSIS 2020: 141-144 - [c147]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. ICDE 2020: 1902-1905 - [c146]Johannes Grohmann, Daniel Seybold, Simon Eismann, Mark Leznik, Samuel Kounev, Jörg Domaschka:
Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. MASCOTS 2020: 1-8 - [c145]Thomas Prantl, Peter Ten, Lukas Iffländer, Alexandra Dmitrienko, Samuel Kounev, Christian Krupitzer:
Evaluating the Performance of a State-of-the-Art Group-oriented Encryption Scheme for Dynamic Groups in an IoT Scenario. MASCOTS 2020: 1-8 - [c144]Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev:
To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. MMB 2020: 19-36 - [c143]Stefan Herrnleben, Piotr Rygielski, Johannes Grohmann, Simon Eismann, Tobias Hoßfeld, Samuel Kounev:
Model-Based Performance Predictions for SDN-Based Networks: A Case Study. MMB 2020: 82-98 - [c142]Stefan Herrnleben, Johannes Grohmann, Piotr Rygielski, Veronika Lesch, Christian Krupitzer, Samuel Kounev:
A Simulation-Based Optimization Framework for Online Adaptation of Networks. SimuTools (1) 2020: 513-532 - [c141]Stefan Herrnleben, Rudy Ailabouni, Johannes Grohmann, Thomas Prantl, Christian Krupitzer, Samuel Kounev:
An IoT Network Emulator for Analyzing the Influence of Varying Network Quality. SimuTools (2) 2020: 580-599 - [c140]Norbert Schmitt, James Bucek, John Beckett, Aaron Cragin, Klaus-Dieter Lange, Samuel Kounev:
Performance, Power, and Energy-Efficiency Impact Analysis of Compiler Optimizations on the SPEC CPU 2017 Benchmark Suite. UCC 2020: 292-301 - [c139]Norbert Schmitt, James Bucek, Klaus-Dieter Lange, Samuel Kounev:
Energy Efficiency Analysis of Compiler Optimizations on the SPEC CPU 2017 Benchmark Suite. ICPE Companion 2020: 38-41 - [c138]André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE 2020: 48-55 - [c137]Simon Eismann, Johannes Grohmann, Erwin Van Eyk, Nikolas Herbst, Samuel Kounev:
Predicting the Costs of Serverless Workflows. ICPE 2020: 265-276 - [i10]Christian Krupitzer, Sebastian Müller, Veronika Lesch, Marwin Züfle, Janick Edinger, Alexander Lemken, Dominik Schäfer, Samuel Kounev, Christian Becker:
A Survey on Human Machine Interaction in Industry 4.0. CoRR abs/2002.01025 (2020) - [i9]Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev:
A Survey on Predictive Maintenance for Industry 4.0. CoRR abs/2002.08224 (2020) - [i8]Lukas Iffländer, Nishant Rawtani, Lukas Beierlieb, Nicolas Fella, Klaus-Dieter Lange, Samuel Kounev:
Attack-aware Security Function Chain Reordering. CoRR abs/2005.08364 (2020) - [i7]Simon Eismann, Long Bui, Johannes Grohmann, Cristina L. Abad, Nikolas Herbst, Samuel Kounev:
Sizeless: Predicting the optimal size of serverless functions. CoRR abs/2010.15162 (2020)
2010 – 2019
- 2019
- [j33]Jóakim von Kistowski, Klaus-Dieter Lange, Jeremy A. Arnold, John Beckett, Hansfried Block, Michael G. Tricker, Sanjay Sharma, Johann Pais, Samuel Kounev:
Measuring and rating the energy-efficiency of servers. Future Gener. Comput. Syst. 100: 579-589 (2019) - [j32]Simon Spinner, Johannes Grohmann, Simon Eismann, Samuel Kounev:
Online model learning for self-aware computing infrastructures. J. Syst. Softw. 147: 1-16 (2019) - [j31]Florian Metzger, Tobias Hoßfeld, André Bauer, Samuel Kounev, Poul E. Heegaard:
Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud. Proc. IEEE 107(4): 679-694 (2019) - [j30]André Bauer, Nikolas Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev:
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. IEEE Trans. Parallel Distributed Syst. 30(4): 800-813 (2019) - [c136]Norbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev:
Online Power Consumption Estimation for Functions in Cloud Applications. ICAC 2019: 63-72 - [c135]Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC 2019: 167-176 - [c134]André Bauer, Veronika Lesch, Laurens Versluis, Alexey Ilyushkin, Nikolas Herbst, Samuel Kounev:
Chamulteon: Coordinated Auto-Scaling of Micro-Services. ICDCS 2019: 2015-2025 - [c133]Simon Eismann, Johannes Grohmann, Jürgen Walter, Jóakim von Kistowski, Samuel Kounev:
Integrating Statistical Response Time Models in Architectural Performance Models. ICSA 2019: 71-80 - [c132]Lukas Beierlieb, Lukas Iffländer, Aleksandar Milenkoski, Charles F. Gonçalves, Nuno Antunes, Samuel Kounev:
Towards Testing the Software Aging Behavior of Hypervisor Hypercall Interfaces. ISSRE Workshops 2019: 218-224 - [c131]Johannes Grohmann, Simon Eismann, Sven Elflein, Jóakim von Kistowski, Samuel Kounev, Manar Mazkatli:
Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. MASCOTS 2019: 309-322 - [c130]Johannes Grohmann, Patrick K. Nicholson, Jesus Omana Iglesias, Samuel Kounev, Diego Lugones:
Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. Middleware 2019: 149-162 - [c129]Stefan Herrnleben, Martin Pfannemüller, Christian Krupitzer, Samuel Kounev, Michele Segata, Felix Fastnacht, Magnus Nigmann:
Towards Adaptive Car-to-Cloud Communication. PerCom Workshops 2019: 119-124 - [c128]André Bauer, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Systematic Search for Optimal Resource Configurations of Distributed Applications. FAS*W@SASO/ICAC 2019: 120-125 - [c127]Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC 2019: 134-139 - [c126]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC 2019: 255-256 - [c125]Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Samuel Kounev:
TeaStore - A Micro-Service Reference Application. FAS*W@SASO/ICAC 2019: 263-264 - [c124]Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. SE/SWM 2019: 99-100 - [c123]Jóakim von Kistowski, Simon Eismann, Johannes Grohmann, Norbert Schmitt, André Bauer, Samuel Kounev:
TeaStore - A Micro-Service Reference Application for Performance Engineers. ICPE Companion 2019: 47-48 - [c122]Lukas Iffländer, Jonathan Stoll, Nishant Rawtani, Veronika Lesch, Klaus-Dieter Lange, Samuel Kounev:
Performance Oriented Dynamic Bypassing for Intrusion Detection Systems. ICPE 2019: 159-166 - [c121]Jóakim von Kistowski, Johann Pais, Tobias Wahl, Klaus-Dieter Lange, Hansfried Block, John Beckett, Samuel Kounev:
Measuring the Energy Efficiency of Transactional Loads on GPGPU. ICPE 2019: 219-230 - [c120]Jóakim von Kistowski, Johannes Grohmann, Norbert Schmitt, Samuel Kounev:
Predicting Server Power Consumption from Standard Rating Results. ICPE 2019: 301-312 - [i6]Lukas Iffländer, Alexandra Dmitrienko, Christoph Hagen, Michael Jobst, Samuel Kounev:
Hands Off my Database: Ransomware Detection in Databases through Dynamic Analysis of Query Sequences. CoRR abs/1907.06775 (2019) - 2018
- [j29]Aleksandar Milenkoski, Alexandru Iosup, Samuel Kounev, Kai Sachs, Diane E. Mularz, Jonathan A. Curtiss, Jason Ding, Florian Rosenberg, Piotr Rygielski:
CUP: A Formalism for Expressing Cloud Usage Patterns for Experts and Non-Experts. IEEE Cloud Comput. 5(3): 65-76 (2018) - [j28]Nikolas Herbst, André Bauer, Samuel Kounev, Giorgos Oikonomou, Erwin Van Eyk, George Kousiouris, Athanasia Evangelinou, Rouven Krebs, Tim Brecht, Cristina L. Abad, Alexandru Iosup:
Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(4): 19:1-19:36 (2018) - [c119]Andre Greubel, Alexandra Dmitrienko, Samuel Kounev:
SmarTor: Smarter Tor with Smart Contracts: Improving resilience of topology distribution in the Tor network. ACSAC 2018: 677-691 - [c118]Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev:
Using Machine Learning for Recommending Service Demand Estimation Approaches - Position Paper. CLOSER 2018: 473-480 - [c117]Jóakim von Kistowski, Maximilian Deffner, Samuel Kounev:
Run-Time Prediction of Power Consumption for Component Deployments. ICAC 2018: 151-156 - [c116]Johannes Grohmann, Simon Eismann, Samuel Kounev:
The Vision of Self-Aware Performance Models. ICSA Companion 2018: 60-63 - [c115]Simon Eismann, Jürgen Walter, Jóakim von Kistowski, Samuel Kounev:
Modeling of Parametric Dependencies for Performance Prediction of Component-Based Software Systems at Run-Time. ICSA 2018: 135-144 - [c114]Jóakim von Kistowski, Simon Eismann, Norbert Schmitt, André Bauer, Johannes Grohmann, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. MASCOTS 2018: 223-236 - [c113]André Bauer, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
On the Value of Service Demand Estimation for Auto-scaling. MMB 2018: 142-156 - [c112]Vanessa Ackermann, Johannes Grohmann, Simon Eismann, Samuel Kounev:
Blackbox Learning of Parametric Dependencies for Performance Models. MODELS Workshops 2018: 78-86 - [c111]Simon Eismann, Jóakim von Kistowski, Johannes Grohmann, André Bauer, Norbert Schmitt, Nikolas Herbst, Samuel Kounev:
TeaStore: A Micro-Service Reference Application for Cloud Researchers. UCC Companion 2018: 11-12 - [c110]Lukas Iffländer, Jürgen Walter, Simon Eismann, Samuel Kounev:
The Vision of Self-aware Reordering of Security Network Function Chains. ICPE Companion 2018: 1-4 - [c109]Veronika Lesch, André Bauer, Nikolas Herbst, Samuel Kounev:
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. ICPE 2018: 4-15 - [c108]Jürgen Walter, Simon Eismann, Johannes Grohmann, Dusan Okanovic, Samuel Kounev:
Tools for Declarative Performance Engineering. ICPE Companion 2018: 53-56 - [c107]Connie U. Smith, Vittorio Cortellessa, Abel Gómez, Samuel Kounev, Catalina M. Lladó, Murray Woodside:
Challenges in Automating Performance Tool Support. ICPE Companion 2018: 175-176 - 2017
- [j27]Jürgen Walter, Simon Eismann, Nikolai Reed, Samuel Kounev:
Providing Model-Extraction-as-a-Service for Architectural Performance Models. Softwaretechnik-Trends 37(3) (2017) - [j26]Jóakim von Kistowski, Nikolas Herbst, Samuel Kounev, Henning Groenda, Christian Stier, Sebastian Lehrig:
Modeling and Extracting Load Intensity Profiles. ACM Trans. Auton. Adapt. Syst. 11(4): 23:1-23:28 (2017) - [j25]Nikolaus Huber, Fabian Brosig, Simon Spinner, Samuel Kounev, Manuel Bähr:
Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. IEEE Trans. Software Eng. 43(5): 432-452 (2017) - [c106]Johannes Grohmann, Nikolas Herbst, Simon Spinner, Samuel Kounev:
Self-Tuning Resource Demand Estimation. ICAC 2017: 21-26 - [c105]Norbert Schmitt, Jóakim von Kistowski, Samuel Kounev:
Emulating the Power Consumption Behavior of Server Workloads Using CPU Performance Counters. MASCOTS 2017: 157-163 - [c104]Lukas Iffländer, Christopher Metter, Florian Wamser, Phuoc Tran-Gia, Samuel Kounev:
Performance Assessment of Cloud Migrations from Network and Application Point of View. MONAMI 2017: 262-276 - [c103]Samuel Kounev, Nikolaus Huber, Fabian Brosig, Simon Spinner, Manuel Bähr:
Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. Software Engineering 2017: 95-96 - [c102]Norbert Schmitt, Jóakim von Kistowski, Samuel Kounev:
Towards a Scalability and Energy Efficiency Benchmark for VNF. TPCTC 2017: 41-54 - [c101]Jürgen Walter, André van Hoorn, Samuel Kounev:
Automated and Adaptable Decision Support for Software Performance Engineering. VALUETOOLS 2017: 66-73 - [c100]Jóakim von Kistowski, Maximilian Deffner, Jeremy A. Arnold, Klaus-Dieter Lange, John Beckett, Samuel Kounev:
Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency. ICPE 2017: 155-156 - [c99]Jürgen Walter, Christian Stier, Heiko Koziolek, Samuel Kounev:
An Expandable Extraction Framework for Architectural Performance Models. ICPE Companion 2017: 165-170 - [c98]Jürgen Walter, Dusan Okanovic, Samuel Kounev:
Mapping of Service Level Objectives to Performance Queries. ICPE Companion 2017: 197-202 - [c97]Norbert Schmitt, Jóakim von Kistowski, Samuel Kounev:
Predicting Power Consumption of High-Memory-Bandwidth Workloads. ICPE 2017: 353-356 - [c96]André Bauer, Nikolas Herbst, Samuel Kounev:
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler: Tutorial Paper. ICPE 2017: 425-428 - [p17]Samuel Kounev, Peter R. Lewis, Kirstie L. Bellman, Nelly Bencomo, Javier Cámara, Ada Diaconescu, Lukas Esterle, Kurt Geihs, Holger Giese, Sebastian Götz, Paola Inverardi, Jeffrey O. Kephart, Andrea Zisman:
The Notion of Self-aware Computing. Self-Aware Computing Systems 2017: 3-16 - [p16]Javier Cámara, Kirstie L. Bellman, Jeffrey O. Kephart, Marco Autili, Nelly Bencomo, Ada Diaconescu, Holger Giese, Sebastian Götz, Paola Inverardi, Samuel Kounev, Massimo Tivoli:
Self-aware Computing Systems: Related Concepts and Research Areas. Self-Aware Computing Systems 2017: 17-49 - [p15]Jeffrey O. Kephart, Martina Maggio, Ada Diaconescu, Holger Giese, Henry Hoffmann, Samuel Kounev, Anne Koziolek, Peter R. Lewis, Anders Robertsson, Simon Spinner:
Reference Scenarios for Self-aware Computing. Self-Aware Computing Systems 2017: 87-106 - [p14]Holger Giese, Thomas Vogel, Ada Diaconescu, Sebastian Götz, Samuel Kounev:
Architectural Concepts for Self-aware Computing Systems. Self-Aware Computing Systems 2017: 109-147 - [p13]Holger Giese, Thomas Vogel, Ada Diaconescu, Sebastian Götz, Nelly Bencomo, Kurt Geihs, Samuel Kounev, Kirstie L. Bellman:
State of the Art in Architectures for Self-aware Computing Systems. Self-Aware Computing Systems 2017: 237-275 - [p12]Nikolas Herbst, Steffen Becker, Samuel Kounev, Heiko Koziolek, Martina Maggio, Aleksandar Milenkoski, Evgenia Smirni:
Metrics and Benchmarks for Self-aware Computing Systems. Self-Aware Computing Systems 2017: 437-464 - [p11]Simon Spinner, Antonio Filieri, Samuel Kounev, Martina Maggio, Anders Robertsson:
Run-Time Models for Online Performance and Resource Management in Data Centers. Self-Aware Computing Systems 2017: 485-505 - [p10]Jürgen Walter, Antinisca Di Marco, Simon Spinner, Paola Inverardi, Samuel Kounev:
Online Learning of Run-Time Models for Performance and Resource Management in Data Centers. Self-Aware Computing Systems 2017: 507-528 - [p9]Nikolas Herbst, Ayman A. Amin, Artur Andrzejak, Lars Grunske, Samuel Kounev, Ole J. Mengshoel, Priya Krishnan Sundararajan:
Online Workload Forecasting. Self-Aware Computing Systems 2017: 529-553 - [p8]K. R. Jayaram, Aleksandar Milenkoski, Samuel Kounev:
Software Architectures for Self-protection in IaaS Clouds. Self-Aware Computing Systems 2017: 611-631 - [p7]Aleksandar Milenkoski, K. R. Jayaram, Samuel Kounev:
Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources. Self-Aware Computing Systems 2017: 633-657 - [p6]Klaus Schilling, Jürgen Walter, Samuel Kounev:
Spacecraft Autonomous Reaction Capabilities, Control Approaches, and Self-aware Computing. Self-Aware Computing Systems 2017: 687-706 - [e7]Samuel Kounev, Jeffrey O. Kephart, Aleksandar Milenkoski, Xiaoyun Zhu:
Self-Aware Computing Systems. Springer International Publishing 2017, ISBN 978-3-319-47472-4 [contents] - 2016
- [j24]Samuel Kounev, Nikolaus Huber, Fabian Brosig, Xiaoyun Zhu:
A Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures. Computer 49(7): 53-61 (2016) - [j23]Christoph Müller, Piotr Rygielski, Simon Spinner, Samuel Kounev:
Enabling Fluid Analysis for Queueing Petri Nets via Model Transformation. Electron. Notes Theor. Comput. Sci. 327: 71-91 (2016) - [j22]Jóakim von Kistowski, Samuel Kounev:
Univariate Interpolation-based Modeling of Power and Performance. EAI Endorsed Trans. Energy Web 3(10): e4 (2016) - [j21]Jürgen Walter, Mayimilian König, Simon Eismann, Samuel Kounev:
PAVO: A Framework for the Visualization of Performance Analyses Results. Softwaretechnik-Trends 36(4) (2016) - [c95]Jóakim von Kistowski, Marco Schreck, Samuel Kounev:
Predicting Power Consumption in Virtualized Environments. EPEW 2016: 79-93 - [c94]Aleksandar Milenkoski, K. R. Jayaram, Nuno Antunes, Marco Vieira, Samuel Kounev:
Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments. ISSRE 2016: 276-286 - [c93]Axel Busch, Qais Noorshams, Samuel Kounev, Anne Koziolek, Ralf H. Reussner, Erich Amrehn:
Automated workload characterization for I/O performance analysis in virtualized environments. Software Engineering 2016: 27-28 - [c92]Samuel Kounev, Fabian Brosig, Philipp Meier, Steffen Becker, Anne Koziolek, Heiko Koziolek, Piotr Rygielski:
Analysis of the trade-offs in different modeling approaches for performance prediction of software systems. Software Engineering 2016: 47-48 - [c91]Piotr Rygielski, Marian Seliuchenko, Samuel Kounev:
Modeling and Prediction of Software-Defined Networks Performance using Queueing Petri Nets. SimuTools 2016: 66-75 - [c90]Piotr Rygielski, Marian Seliuchenko, Samuel Kounev, Mykhailo Klymash:
Performance Analysis of SDN Switches with Hardware and Software Flow Tables. VALUETOOLS 2016 - [c89]Piotr Rygielski, Viliam Simko, Felix Sittner, Doris Aschenbrenner, Samuel Kounev, Klaus Schilling:
Automated Extraction of Network Traffic Models Suitable for Performance Simulation. ICPE 2016: 27-35 - [c88]Simon Spinner, Jürgen Walter, Samuel Kounev:
A Reference Architecture for Online Performance Model Extraction in Virtualized Environments. ICPE Companion 2016: 57-62 - [c87]Jürgen Walter, André van Hoorn, Heiko Koziolek, Dusan Okanovic, Samuel Kounev:
Asking "What"?, Automating the "How"?: The Vision of Declarative Performance Engineering. ICPE 2016: 91-94 - [c86]Alexandru Iosup, Samuel Kounev, Kai Sachs:
SPEC Research Group's Cloud Working Group: RG Cloud Group. ICPE 2016: 127-128 - [c85]Jóakim von Kistowski, Hansfried Block, John Beckett, Cloyce Spradling, Klaus-Dieter Lange, Samuel Kounev:
Variations in CPU Power Consumption. ICPE 2016: 147-158 - [e6]Samuel Kounev, Holger Giese, Jie Liu:
2016 IEEE International Conference on Autonomic Computing, ICAC 2016, Wuerzburg, Germany, July 17-22, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-1654-9 [contents] - [i5]Nikolas Herbst, Rouven Krebs, Giorgos Oikonomou, George Kousiouris, Athanasia Evangelinou, Alexandru Iosup, Samuel Kounev:
Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics. CoRR abs/1604.03470 (2016) - 2015
- [j20]