2012.bib

@inproceedings{BrHuKo2012-CBSE-ParamAndContextDep,
  abstract = {Modern enterprise applications have to satisfy increasingly stringent Quality-of-Service requirements. To ensure that a system meets its performance requirements, the ability to predict its performance under different configurations and workloads is essential. Architecture-level performance models describe performance-relevant aspects of software architectures and execution environments allowing to evaluate different usage profiles as well as system deployment and configuration options. However, building performance models manually requires a lot of time and effort. In this paper, we present a novel automated method for the extraction of architecture-level performance models of distributed component-based systems, based on monitoring data collected at run-time. The method is validated in a case study with the industry-standard SPECjEnterprise2010 Enterprise Java benchmark, a representative software system executed in a realistic environment. The obtained performance predictions match the measurements on the real system within an error margin of mostly 10-20 percent.},
  author = {Fabian Brosig and Nikolaus Huber and Samuel Kounev},
  booktitle = {Proceedings of the 15th ACM SIGSOFT International Symposium on Component Based Software Engineering (CBSE 2012), June 26--28, 2012, Bertinoro, Italy},
  month = {June},
  note = {Acceptance Rate (Full Paper): 28.5\%.},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/BrHuKo2012-CBSE-ParamDep.pdf},
  title = {{Modeling Parameter and Context Dependencies in Online Architecture-Level Performance Models}},
  url = {http://cbse-conferences.org/2012/},
  year = {2012}
}
@inproceedings{FaHa2012-ICPE,
  address = {New York, NY, USA},
  author = {Michael Faber and Jens Happe},
  booktitle = {Proceedings of 3rd ACM/SPEC Internatioanl Conference on Performance Engineering (ICPE 2012)},
  day = {22--25},
  isbn = {978-1-4503-1202-8},
  location = {Boston, USA},
  month = {April},
  pages = {33--44},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/FaHa2012-ICPE.pdf},
  publisher = {ACM},
  title = {Systematic adoption of genetic programming for deriving software performance curves},
  url = {http://doi.acm.org/10.1145/2188286.2188295},
  year = {2012}
}
@inproceedings{FuBrFa2012-VALUETOOLS-TruthfulResourceReservation,
  abstract = {{Prudent capacity planning to meet their clients future computational needs is one of the major issues cloud computing providers face today. By offering resource reservations in advance, providers gain insight into the projected demand of their customers and can act accordingly. However, customers need to be given an incentive, e.g. discounts granted, to commit early to a provider and to honestly, i.e., truthfully reserve their predicted future resource requirements. Customers may reserve capacity deviating from their truly predicted demand, in order to exploit the mechanism for their own benefit, thereby causing futile costs for the provider. In this paper we prove, using a game theoretic approach, that truthful reservation is the best, i.e., dominant strategy for customers if they are capable to make precise forecasts of their demands and that deviations from truth-telling can be profitable for customers if their demand forecasts are uncertain.}},
  author = {Funke, Daniel and Brosig, Fabian and Faber, Michael},
  booktitle = {{Proceedings of the 6th International ICST Conference on Performance Evaluation Methodologies and Tools (ValueTools 2012), Carg{\`e}se, France}},
  month = {},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/FuBrFa2012-VALUETOOLS-TruthfulResourceReservation.pdf},
  title = {{Towards Truthful Resource Reservation in Cloud Computing}},
  year = {2012}
}
@incollection{GiBrNoKoJu2012-ResBook-OnlinePrediction,
  abstract = {{Current computing systems are becoming increasingly complex in nature and exhibit large variations in workloads. These changing environments create challenges to the design of systems that can adapt themselves while maintaining desired Quality of Service (QoS), security, dependability, availability and other non-functional requirements. The next generation of resilient systems will be highly distributed, component-based and service-oriented. They will need to operate in unattended mode and possibly in hostile environments, will be composed of a large number of interchangeable components discoverable at run-time, and will have to run on a multitude of unknown and heterogeneous hardware and network platforms. These computer systems will adapt themselves to cope with changes in the operating conditions and to meet the service-level agreements with a minimum of resources. Changes in operating conditions include hardware and software failures, load variation and variations in user interaction with the system, including security attacks and overwhelming situations. This self adaptation of next resilient systems can be achieved by first online predicting how these situations would be by observation of the current environment. This chapter focuses on the use of online predicting methods, techniques and tools for resilient systems. Thus, we survey online QoS adaptive models in several environments as grid environments, service-oriented architectures and ambient intelligence using different approaches based on queueing networks, model checking, ontology engineering among others.}},
  address = {Berlin, Heidelberg},
  author = {Katja Gilly and Fabian Brosig and Ramon Nou and Samuel Kounev and Carlos Juiz},
  booktitle = {Resilience Assessment and Evaluation of Computing Systems},
  editor = {K. Wolter and A. Avritzer and M. Vieira and A. van Moorsel},
  isbn = {978-3-642-29031-2},
  note = {ISBN: 978-3-642-29031-2},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/GiBrNoKoJu2012-ResBook-OnlinePredictionCaseStudies.pdf},
  publisher = {Springer-Verlag},
  series = {XVIII},
  title = {Online prediction: Four case studies},
  url = {http://www.springer.com/computer/communication+networks/book/978-3-642-29031-2},
  year = {2012}
}
@mastersthesis{Herbst2012a,
  abstract = {{Virtualization technologies enable dynamic allocation of computing resources to execution environments at run-time. To exploit optimisation potential that comes with these degrees of freedom, forecasts of the arriving work's intensity are valuable information, to continuously ensure a defined quality of service (QoS) definition and at the same time to improve the efficiency of the resource utilisation. Time series analysis offers a broad spectrum of methods for calculation of forecasts based on periodically monitored values. Related work in the field of proactive resource provisioning mostly concentrate on single methods of the time series analysis and their individual optimisation potential. This way, usable forecast results are achieved only in certain situations. In this thesis, established methods of the time series analysis are surveyed and grouped concerning their strengths and weaknesses. A dynamic approach is presented that selects based on a decision tree and direct feedback cycles, capturing the forecast accuracy, the suitable method for a given situation. The user needs to provide only his general forecast objectives. An implementation of the introduced theoretical approach is presented that continuously provides forecasts of the arriving work's intensity in configurable intervals and with controllable computational overhead during run-time. Based on real-world intensity traces, a number of different experiments and a case study is conducted. The results show, that by use of the implementation the relative error of the forecast points in relation to the arriving observations is reduced by 63% in average compared to the results of a statically selected, sophisticated method. In a case study, between 52% and 70% of the violations of a given service level agreement are prevented by applying proactive resource provisioning based on the forecast results of the introduced implementation.}},
  address = {Am Fasanengarten 5, 76131 Karlsruhe, Germany},
  author = {Nikolas Roman Herbst},
  keywords = {Cloud, Resource Elasticity, Workload, Forecasting, Time Series},
  note = {Forschungszentrum Informatik (FZI) Prize "Best Diploma Thesis"},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/Herbst2012a.pdf},
  school = {{Karlsruhe Institute of Technology (KIT)}},
  title = {{Workload Classification and Forecasting}},
  type = {{Diploma Thesis}},
  year = {2012}
}
@incollection{HuBrDiJoKo2012-ResBook-CloudCaseStudies,
  address = {Berlin, Heidelberg},
  author = {Nikolaus Huber and Fabian Brosig and N. Dingle and K. Joshi and Samuel Kounev},
  booktitle = {{Resilience Assessment and Evaluation of Computing Systems}},
  editor = {K. Wolter and A. Avritzer and M. Vieira and A. van Moorsel},
  isbn = {978-3-642-29031-2},
  note = {ISBN: 978-3-642-29031-2},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/HuBrDiJoKo2012-ResBook-CloudCaseStudies.pdf},
  publisher = {Springer-Verlag},
  series = {XVIII},
  title = {{Providing Dependability and Performance in the Cloud: Case Studies}},
  url = {http://www.springer.com/computer/communication+networks/book/978-3-642-29031-2},
  year = {2012}
}
@inproceedings{HuBrKo2012-QoSA-ModelingVirtResLandscapes,
  abstract = {Modern data centers are subject to an increasing demand for flexibility. Increased flexibility and dynamics, however, also result in a higher system complexity. This complexity carries on to run-time resource management for Quality-of-Service (QoS) enforcement, rendering design-time approaches for QoS assurance inadequate. In this paper, we present a set of novel meta-models that can be used to describe the resource landscape, the architecture and resource layers of dynamic virtualized data center infrastructures, as well as their run-time adaptation and resource management aspects. With these meta-models we introduce new modeling concepts to improve model-based run-time QoS assurance. We evaluate our meta-models by modeling a representative virtualized service infrastructure and using these model instances for run-time resource allocation. The results demonstrate the benefits of the new meta-models and show how they can be used to improve model-based system adaptation and run-time resource management in dynamic virtualized data centers.},
  address = {New York, NY, USA},
  author = {Nikolaus Huber and Fabian Brosig and Samuel Kounev},
  booktitle = {Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012)},
  day = {25--28},
  doi = {10.1145/2304696.2304711},
  isbn = {978-1-4503-1346-9},
  location = {Bertinoro, Italy},
  month = {June},
  note = {Acceptance Rate (Full Paper): 25.6\%},
  pages = {81--90},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/HuBrKo2012-QoSA-ModelingVirtResLandscapes.pdf},
  publisher = {ACM},
  title = {{Modeling Dynamic Virtualized Resource Landscapes}},
  url = {http://qosa.ipd.kit.edu/qosa_2012/},
  year = {2012}
}
@inproceedings{HuHoKoBrKo2012-ICEBE-STA,
  abstract = {Modern virtualized system environments usually host diverse applications of different parties and aim at utilizing resources efficiently while ensuring that quality-of-service requirements are continuously satisfied. In such scenarios, complex adaptations to changes in the system environment are still largely performed manually by humans. Over the past decade, autonomic self-adaptation techniques aiming to minimize human intervention have become increasingly popular. However, given that adaptation processes are usually highly system specific, it is a challenge to abstract from system details enabling the reuse of adaptation strategies. In this paper, we propose a novel modeling language (meta-model) providing means to describe system adaptation processes at the system architecture level in a generic, human-understandable and reusable way. We apply our approach to three different realistic contexts (dynamic resource allocation, software architecture optimization, and run-time adaptation planning) showing how the gap between complex manual adaptations and their autonomous execution can be closed by using a holistic model-based approach.},
  address = {Los Alamitos, CA, USA},
  author = {Nikolaus Huber and Andr\'{e} van Hoorn and Anne Koziolek and Fabian Brosig and Samuel Kounev},
  booktitle = {Proceedings of the 9th IEEE International Conference on e-Business Engineering (ICEBE 2012)},
  day = {9--11},
  doi = {http://doi.ieeecomputersociety.org/10.1109/ICEBE.2012.21},
  isbn = {978-1-4673-2601-8},
  location = {Hangzhou, China},
  month = {September},
  note = {Acceptance Rate (Full Paper): 19.7\% (26/132)},
  pages = {70--77},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/HuHoKoBrKo2012-ICEBE-AdaptationLanguage.pdf},
  publisher = {IEEE Computer Society},
  title = {{S/T/A: Meta-Modeling Run-Time Adaptation in Component-Based System Architectures}},
  url = {http://conferences.computer.org/icebe/2012/index.htm},
  year = {2012}
}
@incollection{HuQuBrHaKo2012-CCaSS-ExpVirtPerfOverhead,
  address = {New York},
  author = {Huber, Nikolaus and von Quast, Marcel and Brosig, Fabian and Hauck, Michael and Kounev, Samuel},
  booktitle = {Cloud Computing and Services Science},
  doi = {10.1007/978-1-4614-2326-3_19},
  editor = {Ivanov, Ivan and van Sinderen, Marten and Shishkov, Boris},
  isbn = {978-1-4614-2325-6},
  pages = {353--370},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/HuQuBrHaKo2012-CCaSS-ExpVirtPerfOverhead.pdf},
  publisher = {Springer},
  series = {Service Science: Research and Innovations in the Service Economy},
  title = {{A Method for Experimental Analysis and Modeling of Virtualization Performance Overhead}},
  url = {http://dx.doi.org/10.1007/978-1-4614-2326-3_19},
  year = {2012}
}
@inproceedings{KaBeCaDiKuMoSt2012-EUROSYS,
  acmid = {2168866},
  address = {New York, NY, USA},
  author = {Kapitza, R\"{u}diger and Behl, Johannes and Cachin, Christian and Distler, Tobias and Kuhnle, Simon and Mohammadi, Seyed Vahid and Schr\"{o}der-Preikschat, Wolfgang and Stengel, Klaus},
  booktitle = {Proceedings of the 7th ACM european conference on Computer Systems},
  doi = {10.1145/2168836.2168866},
  isbn = {978-1-4503-1223-3},
  keywords = {byzantine failures, resource efficiency},
  location = {Bern, Switzerland},
  numpages = {14},
  pages = {295--308},
  publisher = {ACM},
  series = {EuroSys '12},
  title = {CheapBFT: resource-efficient byzantine fault tolerance},
  url = {http://doi.acm.org/10.1145/2168836.2168866},
  year = {2012}
}
@incollection{KoHuSpBr2012-business-inf-sys,
  abstract = {{With the increasing adoption of virtualization and the transition towards Cloud Computing platforms, modern business information systems are becoming increasingly complex and dynamic. This raises the challenge of guaranteeing system performance and scalability while at the same time ensuring efficient resource usage. In this paper, we present a historical perspective on the evolution of model-based performance engineering techniques for business information systems focusing on the major developments over the past several decades that have shaped the field. We survey the state-of-the-art on performance modeling and management approaches discussing the ongoing efforts in the community to increasingly bridge the gap between high-level business services and low level performance models. Finally, we wrap up with an outlook on the emergence of self-aware systems engineering as a new research area at the intersection of several computer science disciplines.}},
  address = {Berlin, Heidelberg},
  author = {Samuel Kounev and Nikolaus Huber and Simon Spinner and Fabian Brosig},
  booktitle = {Business Modeling and Software Design},
  editor = {Shishkov, Boris},
  isbn = {978-3-642-29788-5},
  pages = {19--37},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/KoHuSpBr2012-business-inf-sys.pdf},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Business Information Processing (LNBIP)},
  title = {Model-based Techniques for Performance Engineering of Business Information Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-29788-5_2},
  volume = {0109},
  year = {2012}
}
@incollection{KoReBrBrJoBaStGi2012-ResBook-CloudChallenges,
  abstract = {{Cloud Computing is a novel paradigm for providing data center resources as on demand services in a pay-as-you-go manner. It promises significant cost savings by making it possible to consolidate workloads and share infrastructure resources among multiple applications resulting in higher cost- and energy-efficiency. However, these benefits come at the cost of increased system complexity and dynamicity posing new challenges in providing service dependability and resilience for applications running in a Cloud environment. At the same time, the virtualization of physical resources, inherent in Cloud Computing, provides new opportunities for novel dependability and quality-of-service management techniques that can potentially improve system resilience. In this chapter, we first discuss in detail the challenges and opportunities introduced by the Cloud Computing paradigm. We then provide a review of the state-of-the-art on dependability and resilience management in Cloud environments, and conclude with an overview of emerging research directions.}},
  address = {Berlin, Heidelberg},
  author = {Samuel Kounev and Philipp Reinecke and Fabian Brosig and Jeremy T. Bradley and Kaustubh Joshi and Vlastimil Babka and Anton Stefanek and Stephen Gilmore},
  booktitle = {Resilience Assessment and Evaluation of Computing Systems},
  editor = {K. Wolter and A. Avritzer and M. Vieira and A. van Moorsel},
  isbn = {978-3-642-29031-2},
  note = {ISBN: 978-3-642-29031-2},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/KoReBrBrJoBaStGi2012-ResBook-CloudChallenges.pdf},
  publisher = {Springer-Verlag},
  series = {XVIII},
  title = {Providing Dependability and Resilience in the Cloud: Challenges and Opportunities},
  url = {http://www.springer.com/computer/communication+networks/book/978-3-642-29031-2},
  year = {2012}
}
@inproceedings{KoSpMe2012-icpe-QPME_Tutorial,
  address = {New York, NY, USA},
  author = {Samuel Kounev and Simon Spinner and Philipp Meier},
  booktitle = {{Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012)}},
  day = {22--25},
  isbn = {978-1-4503-1202-8},
  location = {Boston, USA},
  month = {April},
  organization = {ACM,SPEC},
  pages = {9--18},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/KoSpMe2012-icpe-QPME_Tutorial.pdf},
  publisher = {ACM},
  slides = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/2012-ICPE-Tutorial-QPNs.pdf},
  title = {{Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies}},
  titleaddon = {(Tutorial Paper)},
  url = {http://doi.acm.org/10.1145/2188286.2188290},
  year = {2012}
}
@inproceedings{KrMoKo2012-QoSA-QuantifyingPerfIsoMetrics,
  address = {New York, USA},
  author = {Krebs, Rouven and Momm, Christof and Kounev, Samuel},
  booktitle = {Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012)},
  day = {25--28},
  editor = {Buhnova, Barbora and Vallecillo, Antonio},
  location = {Bertinoro, Italy},
  month = {June},
  note = {Acceptance Rate (Full Paper): 25.6\%},
  pages = {91--100},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/KrMoKo2012-QoSA-QuantifyingPerfIsoMetrics.pdf},
  publisher = {ACM Press},
  title = {{M}etrics and {T}echniques for {Q}uantifying {P}erformance {I}solation in {C}loud {E}nvironments},
  url = {http://qosa.ipd.kit.edu/qosa_2012/},
  year = {2012}
}
@inproceedings{KrMoKo2012-closer-multitenant-saas,
  author = {Krebs, Rouven and Momm, Christof and Kounev, Samuel},
  booktitle = {{Proceedings of the 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012)}},
  day = {18--21},
  location = {Setubal, Portugal},
  month = {April},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/KrMoKo2012-closer-multitenant-sass.pdf},
  publisher = {SciTePress},
  title = {{Architectural Concerns in Multi-Tenant SaaS Applications}},
  titleaddon = {(Short Paper)},
  year = {2012}
}
@inproceedings{MiKo2011-ICITST-TowardsBenchmarking,
  abstract = {{Many recent research works propose novel architectures of intrusion detection systems specifically designed to operate in virtualized environments. However, little attention has been given to the evaluation and benchmarking of such architectures with respect to their performance and dependability. In this paper, we present a research roadmap towards developing a framework for benchmarking intrusion detection systems for cloud environments in a scientifically rigorous and a representative manner.}},
  address = {New York, USA},
  author = {Aleksandar Milenkoski and Samuel Kounev},
  booktitle = {Proceedings of the 7th International Conference for Internet Technology and Secured Transactions (ICITST 2012)},
  location = {London, United Kingdom},
  month = {December},
  pages = {562--563},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/MiKo2011-icitst-TowardsBenchmarking.pdf},
  publisher = {IEEE},
  tags = {Intrusion detection, Virtual machine introspection},
  title = {{Towards Benchmarking Intrusion Detection Systems for Virtualized Cloud Environments}},
  titleaddon = {(Extended Abstract)},
  url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6470873},
  year = {2012}
}
@inproceedings{MoBaVe2012-EUROSYS,
  author = {Mohammadi, Seyed Vahid and Bauer, Markus and Verdejo, Adrian Juan},
  booktitle = {Proceedings of the 6th EuroSys Doctoral Workshop (EuroDW 2012)},
  location = {Bern, Switzerland},
  title = {Dynamic Cloud Reconfiguration to Meet QoS Requirements},
  year = {2012}
}
@inproceedings{rathfelder2012a,
  author = {Christoph Rathfelder and Stefan Becker and Klaus Krogmann and Ralf Reussner},
  booktitle = {Proceedings of the Joint 10th Working IEEE/IFIP Conference on Software Architecture (WICSA) \& 6th European Conference on Software Architecture (ECSA)},
  doi = {10.1109/WICSA-ECSA.212.11},
  location = {Helsinki, Finland},
  month = {August},
  note = {Acceptance Rate (Full Paper): 19.8\%},
  pages = {31--40},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/rathfelder2012a.pdf},
  title = {Workload-aware System Monitoring Using Performance Predictions Applied to a Large-scale E-Mail System},
  url = {http://dx.doi.org/10.1109/WICSA-ECSA.212.11},
  year = {2012},
  publisher = {IEEE Computer Society},
  address = {Washington, DC, USA}
}
@article{SaKoBu2011-SoSyM-PerfModMoEdSys,
  affiliation = {SAP AG, Walldorf, Germany},
  author = {Sachs, Kai and Kounev, Samuel and Buchmann, Alejandro},
  doi = {10.1007/s10270-012-0228-1},
  issn = {1619-1366},
  journal = {Journal of Software and Systems Modeling (SoSyM)},
  month = {February},
  pages = {1--25},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/SaKoBu2011-SoSyM-PerfModMoEdSys.pdf},
  publisher = {Springer-Verlag},
  title = {Performance modeling and analysis of message-oriented event-driven systems},
  url = {http://dx.doi.org/10.1007/s10270-012-0228-1},
  year = {2012}
}
@inproceedings{SpKoMe2012-PETRINETS-QPME,
  abstract = {Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the modeling power and expressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide a number of advantages. In this paper, we present our tool QPME (Queueing Petri net Modeling Environment) for modeling and analysis using queueing Petri nets. QPME provides an Eclipse-based editor for building queueing Petri net models and a powerful simulation engine for analyzing these models. The development of the tool started in 2003 and since then the tool has been distributed to more than 120 organizations worldwide.},
  address = {Berlin, Heidelberg},
  author = {Simon Spinner and Samuel Kounev and Philipp Meier},
  booktitle = {Proceedings of the 33rd International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2012)},
  day = {27--29},
  editor = {Haddad, Serge and Pomello, Lucia},
  isbn = {978-3-642-31130-7},
  location = {Hamburg, Germany},
  month = {June},
  pages = {388--397},
  pdf = {http://sdqweb.ipd.kit.edu/publications/pdfs/SpKoMe2012-petrinets-QPME.pdf},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science (LNCS)},
  title = {{Stochastic Modeling and Analysis using QPME: Queueing Petri Net Modeling Environment v2.0}},
  url = {http://dx.doi.org/10.1007/978-3-642-31131-4_21},
  volume = {7347},
  year = {2012}
}
@incollection{theilmann2010a,
  address = {Hershey, PA, USA},
  author = {Wolfgang Theilmann and Sergio Garcia Gomez and John Kennedy and Davide Lorenzoli and Christoph Rathfelder and Thomas Roeblitz and Gabriele Zacco},
  booktitle = {{Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions}},
  editor = {Stephan Reiff-Marganiec and Marcel Tilly},
  pages = {470--490},
  publisher = {IGI Global},
  title = {{A} {F}ramework for {M}ulti-level {SLA} {M}anagement},
  url = {http://www.igi-global.com/book/handbook-research-service-oriented-systems/55308},
  year = {2012}
}
@incollection{ViMaSaKo2012-ResBook-ResilBenchmark,
  address = {Berlin, Heidelberg},
  author = {Marco Vieira and Henrique Madeira and Kai Sachs and Samuel Kounev},
  booktitle = {{Resilience Assessment and Evaluation of Computing Systems}},
  editor = {K. Wolter and A. Avritzer and M. Vieira and A. van Moorsel},
  isbn = {978-3-642-29031-2},
  note = {ISBN: 978-3-642-29031-2},
  pdf = {http://sdqweb.ipd.kit.edu/publications/descartes-pdfs/ViMaSaKo2012-ResBook-ResilBenchmark.pdf},
  publisher = {Springer-Verlag},
  series = {XVIII},
  title = {{Resilience Benchmarking}},
  url = {http://www.springer.com/computer/communication+networks/book/978-3-642-29031-2},
  year = {2012}
}
@inproceedings{westermann2012b,
  author = {Dennis Westermann and Jens Happe and Rouven Krebs and Roozbeh Farahbod},
  booktitle = {Proceedings of the 27th IEEE/ACM International Conference On Automated Software Engineering (ASE 2012)},
  day = {3--7},
  location = {Essen, Germany},
  month = {September},
  title = {Automated Inference of Goal-oriented Performance Prediction Functions},
  year = {2012}
}
@misc{SPEC-RG-NEWSLETTER-1,
  author = {Samuel Kounev and Kai Sachs and Piotr Rygielski},
  month = {September},
  note = {Published by Standard Performance Evaluation Corporation (SPEC)},
  pdf = {http://research.spec.org/fileadmin/user_upload/newsletter/SPEC-RG-Newsletter-vol1-no1-Sep2012.pdf},
  title = {{SPEC Research Group Newsletter, vol. 1 no. 1}},
  url = {http://research.spec.org/en/newsletter.html},
  year = {2012}
}