Home | Sitemap | Index | Contact | Legals | KIT

Publications of Qais Noorshams

Refereed and invited conference/workshop papers

[1] Anne Koziolek, Qais Noorshams, and Christoph Heger. Answering design questions. In Modeling and Simulating Software Architectures - The Palladio Approach, Ralf H. Reussner, Steffen Becker, Jens Happe, Robert Heinrich, Anne Koziolek, Heiko Koziolek, Max Kramer, and Klaus Krogmann, editors, chapter 7, pages 139-166. MIT Press, Cambridge, MA, October 2016. [ bib | http ]
[2] Axel Busch, Qais Noorshams, Samuel Kounev, Anne Koziolek, Ralf Reussner, and Erich Amrehn. Automated workload characterization for i/o performance analysis in virtualized environments. In Software Engineering 2016, Fachtagung des GI-Fachbereichs Softwaretechnik, 2016, pages 27-28. [ bib | .html | .pdf ]
[3] Qais Noorshams, Axel Busch, Samuel Kounev, and Ralf Reussner. The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments. In Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, Texas, USA, 2015, ICPE '15. [ bib | DOI | http | .pdf ]
[4] Axel Busch, Qais Noorshams, Samuel Kounev, Anne Koziolek, Ralf Reussner, and Erich Amrehn. Automated Workload Characterization for I/O Performance Analysis in Virtualized Environments. In Proceedings of the ACM/SPEC International Conference on Performance Engineering, Austin, Texas, USA, 2015, ICPE '15, pages 265-276. ACM, New York, NY, USA. 2015, Acceptance Rate (Full Paper): 15/56 = 27%. [ bib | DOI | http | .pdf | Abstract ]
Next generation IT infrastructures are highly driven by virtualization technology. The latter enables flexible and efficient resource sharing allowing to improve system agility and reduce costs for IT services. Due to the sharing of resources and the increasing requirements of modern applications on I/O processing, the performance of storage systems is becoming a crucial factor. In particular, when migrating or consolidating different applications the impact on their performance behavior is often an open question. Performance modeling approaches help to answer such questions, a prerequisite, however, is to find an appropriate workload characterization that is both easy to obtain from applications as well as sufficient to capture the important characteristics of the application. In this paper, we present an automated workload characterization approach that extracts a workload model to represent the main aspects of I/O-intensive applications using relevant workload parameters, e.g., request size, read-write ratio, in virtualized environments. Once extracted, workload models can be used to emulate the workload performance behavior in real-world scenarios like migration and consolidation scenarios. We demonstrate our approach in the context of two case studies of representative system environments. We present an in-depth evaluation of our workload characterization approach showing its effectiveness in workload migration and consolidation scenarios. We use an IBM System z equipped with an IBM DS8700 and a Sun Fire system as state-of-the-art virtualized environments. Overall, the evaluation of our workload characterization approach shows promising results to capture the relevant factors of I/O-intensive applications.
[5] Andreas Rentschler, Dominik Werle, Qais Noorshams, Lucia Happe, and Ralf Reussner. Remodularizing Legacy Model Transformations with Automatic Clustering Techniques. In Proceedings of the 3rd Workshop on the Analysis of Model Transformations co-located with the 17th International Conference on Model Driven Engineering Languages and Systems (AMT@MODELS '14), Valencia, Spain, September 29, 2014, Benoit Baudry, Jürgen Dingel, Levi Lucio, and Hans Vangheluwe, editors, October 2014, volume 1277 of CEUR Workshop Proceedings, pages 4-13. CEUR-WS.org. October 2014. [ bib | http | .pdf ]
[6] Andreas Rentschler, Dominik Werle, Qais Noorshams, Lucia Happe, and Ralf Reussner. Designing Information Hiding Modularity for Model Transformation Languages. In Proceedings of the 13th International Conference on Modularity (AOSD '14), Lugano, Switzerland, April 22 - 26, 2014, April 2014, pages 217-228. ACM, New York, NY, USA. April 2014, Acceptance Rate: 35.0%. [ bib | DOI | http | .pdf ]
[7] Tomás Martinec, Lukás Marek, Antonín Steinhauser, Petr Tůma, Qais Noorshams, Andreas Rentschler, and Ralf Reussner. Constructing performance model of jms middleware platform. In Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering, Dublin, Ireland, 2014, ICPE '14, pages 123-134. ACM, New York, NY, USA. 2014. [ bib | DOI | http ]
[8] Qais Noorshams, Kiana Rostami, Samuel Kounev, and Ralf Reussner. Modeling of I/O Performance Interference in Virtualized Environments with Queueing Petri Nets. In Proceedings of the IEEE 22nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, France, Paris, 2014, MASCOTS '14. [ bib | .pdf ]
[9] Qais Noorshams, Roland Reeb, Andreas Rentschler, Samuel Kounev, and Ralf Reussner. Enriching software architecture models with statistical models for performance prediction in modern storage environments. In Proceedings of the 17th International ACM Sigsoft Symposium on Component-based Software Engineering, Marcq-en-Bareul, France, 2014, CBSE '14, pages 45-54. ACM, New York, NY, USA. 2014, Acceptance Rate (Full Paper): 14/62 = 23%. [ bib | DOI | http | .pdf ]
[10] Qais Noorshams, Axel Busch, Andreas Rentschler, Dominik Bruhn, Samuel Kounev, Petr Tůma, and Ralf Reussner. Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems. In 34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, DCPerf '14, Madrid, Spain, 2014, pages 88-93. [ bib | DOI | http | .pdf ]
[11] Andreas Rentschler, Qais Noorshams, Lucia Happe, and Ralf Reussner. Interactive Visual Analytics for Efficient Maintenance of Model Transformations. In Proceedings of the 6th International Conference on Model Transformation (ICMT '13), Budapest, Hungary, Keith Duddy and Gerti Kappel, editors, June 2013, volume 7909 of Lecture Notes in Computer Science, pages 141-157. Springer-Verlag Berlin Heidelberg. June 2013, Acceptance Rate: 20.7%. [ bib | DOI | http | .pdf ]
[12] Qais Noorshams, Kiana Rostami, Samuel Kounev, Petr Tůma, and Ralf Reussner. I/O Performance Modeling of Virtualized Storage Systems. In Proceedings of the IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, San Francisco, USA, 2013, MASCOTS '13, pages 121-130. Acceptance Rate (Full Paper): 44/163 = 27%. [ bib | DOI | http | .pdf ]
[13] Qais Noorshams, Dominik Bruhn, Samuel Kounev, and Ralf Reussner. Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques. In Proceedings of the ACM/SPEC International Conference on Performance Engineering, Prague, Czech Republic, 2013, ICPE '13, pages 283-294. ACM, New York, NY, USA. 2013. [ bib | DOI | http | .pdf ]
[14] Qais Noorshams, Andreas Rentschler, Samuel Kounev, and Ralf Reussner. A Generic Approach for Architecture-level Performance Modeling and Prediction of Virtualized Storage Systems. In Proceedings of the ACM/SPEC International Conference on Performance Engineering, Prague, Czech Republic, 2013, ICPE '13, pages 339-342. ACM, New York, NY, USA. 2013. [ bib | DOI | http | .pdf ]
[15] Qais Noorshams, Samuel Kounev, and Ralf Reussner. Experimental Evaluation of the Performance-Influencing Factors of Virtualized Storage Systems. In Computer Performance Engineering. 9th European Workshop, EPEW 2012, Munich, Germany, July 30, 2012, and 28th UK Workshop, UKPEW 2012, Edinburgh, UK, July 2, 2012, Revised Selected Papers, Mirco Tribastone and Stephen Gilmore, editors, volume 7587 of Lecture Notes in Computer Science, pages 63-79. Springer Berlin Heidelberg, 2013. [ bib | DOI | http | .pdf ]
[16] Robert Vaupel, Qais Noorshams, Samuel Kounev, and Ralf Reussner. Using Queuing Models for Large System Migration Scenarios - An Industrial Case Study with IBM System z. In Computer Performance Engineering. 10th European Workshop, EPEW 2013, Venice, Italy, September 16-17, 2013. Proceedings, Maria Simonetta Balsamo, William J. Knottenbelt, and Andrea Marin, editors, volume 8168 of Lecture Notes in Computer Science, pages 263-275. Springer Berlin Heidelberg, 2013. [ bib | DOI | http | .pdf ]
[17] Anne Koziolek, Qais Noorshams, and Ralf Reussner. Focussing multi-objective software architecture optimization using quality of service bounds. In Models in Software Engineering, Workshops and Symposia at MODELS 2010, Oslo, Norway, October 3-8, 2010, Reports and Revised Selected Papers, J. Dingel and A. Solberg, editors, 2011, volume 6627 of Lecture Notes in Computer Science, pages 384-399. Springer-Verlag Berlin Heidelberg. 2011. [ bib | DOI | http | .pdf | Abstract ]
Quantitative prediction of non-functional properties, such as performance, reliability, and costs, of software architectures supports systematic software engineering. Even though there usually is a rough idea on bounds for quality of service, the exact required values may be unclear and subject to trade-offs. Designing architectures that exhibit such good trade-off between multiple quality attributes is hard. Even with a given functional design, many degrees of freedom in the software architecture (e.g. component deployment or server configuration) span a large design space. Automated approaches search the design space with multi-objective metaheuristics such as evolutionary algorithms. However, as quality prediction for a single architecture is computationally expensive, these approaches are time consuming. In this work, we enhance an automated improvement approach to take into account bounds for quality of service in order to focus the search on interesting regions of the objective space, while still allowing trade-offs after the search. We compare two different constraint handling techniques to consider the bounds. To validate our approach, we applied both techniques to an architecture model of a component-based business information system. We compared both techniques to an unbounded search in 4 scenarios. Every scenario was examined with 10 optimization runs, each investigating around 1600 architectural candidates. The results indicate that the integration of quality of service bounds during the optimization process can improve the quality of the solutions found, however, the effect depends on the scenario, i.e. the problem and the quality requirements. The best results were achieved for costs requirements: The approach was able to decrease the time needed to find good solutions in the interesting regions of the objective space by 25% on average.
[18] Qais Noorshams, Anne Martens, and Ralf Reussner. Using quality of service bounds for effective multi-objective software architecture optimization. In Proceedings of the 2nd International Workshop on the Quality of Service-Oriented Software Systems (QUASOSS '10), Oslo, Norway, October 4, 2010, 2010, pages 1:1-1:6. ACM, New York, NY, USA. 2010. [ bib | DOI | http | .pdf ]

Theses

[1] Qais Noorshams. Modeling and Prediction of I/O Performance in Virtualized Environments. PhD thesis, Karlsruhe Institute of Technology (KIT), 2015. [ bib | http ]
[2] Qais Noorshams. Focusing the optimization of software architecture models using non-functional requirements. Master's thesis, Karlsruhe Institute of Technology, Karlsruhe, Germany, 2010. [ bib | .pdf ]

 

Some of these documents are copyrighted. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the publisher. This material is presented electronically to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.