@article{PengLiuWangetal.2018,
  author    = {Peng, Junjie and Liu, Danxu and Wang, Yingtao and Zeng, Ying and Cheng, Feng and Zhang, Wenqiang},
  title     = {Weight-based strategy for an I/O-intensive application at a cloud data center},
  series = {Concurrency and computation : practice \& experience},
  volume    = {30},
  journal   = {Concurrency and computation : practice \& experience},
  number    = {19},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {1532-0626},
  doi       = {10.1002/cpe.4648},
  pages     = {14},
  year      = {2018},
  abstract  = {Applications with different characteristics in the cloud may have different resources preferences. However, traditional resource allocation and scheduling strategies rarely take into account the characteristics of applications. Considering that an I/O-intensive application is a typical type of application and that frequent I/O accesses, especially small files randomly accessing the disk, may lead to an inefficient use of resources and reduce the quality of service (QoS) of applications, a weight allocation strategy is proposed based on the available resources that a physical server can provide as well as the characteristics of the applications. Using the weight obtained, a resource allocation and scheduling strategy is presented based on the specific application characteristics in the data center. Extensive experiments show that the strategy is correct and can guarantee a high concurrency of I/O per second (IOPS) in a cloud data center with high QoS. Additionally, the strategy can efficiently improve the utilization of the disk and resources of the data center without affecting the service quality of applications.},
  language  = {en}
}
@article{SchaubWoltran2018,
  author    = {Schaub, Torsten H. and Woltran, Stefan},
  title     = {Answer set programming unleashed!},
  series = {K{\"u}nstliche Intelligenz},
  volume    = {32},
  journal   = {K{\"u}nstliche Intelligenz},
  number    = {2-3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {0933-1875},
  doi       = {10.1007/s13218-018-0550-z},
  pages     = {105 -- 108},
  year      = {2018},
  abstract  = {Answer Set Programming faces an increasing popularity for problem solving in various domains. While its modeling language allows us to express many complex problems in an easy way, its solving technology enables their effective resolution. In what follows, we detail some of the key factors of its success. Answer Set Programming [ASP; Brewka et al. Commun ACM 54(12):92-103, (2011)] is seeing a rapid proliferation in academia and industry due to its easy and flexible way to model and solve knowledge-intense combinatorial (optimization) problems. To this end, ASP offers a high-level modeling language paired with high-performance solving technology. As a result, ASP systems provide out-off-the-box, general-purpose search engines that allow for enumerating (optimal) solutions. They are represented as answer sets, each being a set of atoms representing a solution. The declarative approach of ASP allows a user to concentrate on a problem's specification rather than the computational means to solve it. This makes ASP a prime candidate for rapid prototyping and an attractive tool for teaching key AI techniques since complex problems can be expressed in a succinct and elaboration tolerant way. This is eased by the tuning of ASP's modeling language to knowledge representation and reasoning (KRR). The resulting impact is nicely reflected by a growing range of successful applications of ASP [Erdem et al. AI Mag 37(3):53-68, 2016; Falkner et al. Industrial applications of answer set programming. K++nstliche Intelligenz (2018)]},
  language  = {en}
}
@misc{SchaubWoltran2018,
  author    = {Schaub, Torsten H. and Woltran, Stefan},
  title     = {Special issue on answer set programming},
  series = {K{\"u}nstliche Intelligenz},
  volume    = {32},
  journal   = {K{\"u}nstliche Intelligenz},
  number    = {2-3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {0933-1875},
  doi       = {10.1007/s13218-018-0554-8},
  pages     = {101 -- 103},
  year      = {2018},
  language  = {en}
}
@misc{FichteTruszczynskiWoltran2015,
  author    = {Fichte, Johannes Klaus and Truszczynski, Miroslaw and Woltran, Stefan},
  title     = {Dual-normal logic programs},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {585},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-41449},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-414490},
  pages     = {16},
  year      = {2015},
  abstract  = {Disjunctive Answer Set Programming is a powerful declarative programming paradigm with complexity beyond NP. Identifying classes of programs for which the consistency problem is in NP is of interest from the theoretical standpoint and can potentially lead to improvements in the design of answer set programming solvers. One of such classes consists of dual-normal programs, where the number of positive body atoms in proper rules is at most one. Unlike other classes of programs, dual-normal programs have received little attention so far. In this paper we study this class. We relate dual-normal programs to propositional theories and to normal programs by presenting several inter-translations. With the translation from dual-normal to normal programs at hand, we introduce the novel class of body-cycle free programs, which are in many respects dual to head-cycle free programs. We establish the expressive power of dual-normal programs in terms of SE- and UE-models, and compare them to normal programs. We also discuss the complexity of deciding whether dual-normal programs are strongly and uniformly equivalent.},
  language  = {en}
}
@inproceedings{CurzonKalasSchubertetal.2015,
  author    = {Curzon, Paul and Kalas, Ivan and Schubert, Sigrid and Schaper, Niclas and Barnes, Jan and Kennewell, Steve and Br{\"o}ker, Kathrin and Kastens, Uwe and Magenheim, Johannes and Dagiene, Valentina and Stupuriene, Gabriele and Ellis, Jason Brent and Abreu-Ellis, Carla Reis and Grillenberger, Andreas and Romeike, Ralf and Haugsbakken, Halvdan and Jones, Anthony and Lewin, Cathy and McNicol, Sarah and Nelles, Wolfgang and Neugebauer, Jonas and Ohrndorf, Laura and Schaper, Niclas and Schubert, Sigrid and Opel, Simone and Kramer, Matthias and Trommen, Michael and Pottb{\"a}cker, Florian and Ilaghef, Youssef and Passig, David and Tzuriel, David and Kedmi, Ganit Eshel and Saito, Toshinori and Webb, Mary and Weigend, Michael and Bottino, Rosa and Chioccariello, Augusto and Christensen, Rhonda and Knezek, Gerald and Gioko, Anthony Maina and Angondi, Enos Kiforo and Waga, Rosemary and Ohrndorf, Laura and Or-Bach, Rachel and Preston, Christina and Younie, Sarah and Przybylla, Mareen and Romeike, Ralf and Reynolds, Nicholas and Swainston, Andrew and Bendrups, Faye and Sysło, Maciej M. and Kwiatkowska, Anna Beata and Zieris, Holger and Gerstberger, Herbert and M{\"u}ller, Wolfgang and B{\"u}chner, Steffen and Opel, Simone and Schiller, Thomas and Wegner, Christian and Zender, Raphael and Lucke, Ulrike and Diethelm, Ira and Syrbe, J{\"o}rn and Lai, Kwok-Wing and Davis, Niki and Eickelmann, Birgit and Erstad, Ola and Fisser, Petra and Gibson, David and Khaddage, Ferial and Knezek, Gerald and Micheuz, Peter and Kloos, Carlos Delgado},
  title     = {KEYCIT 2014},
  editor    = {Brinda, Torsten and Reynolds, Nicholas and Romeike, Ralf and Schwill, Andreas},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-292-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-70325},
  pages     = {438},
  year      = {2015},
  abstract  = {In our rapidly changing world it is increasingly important not only to be an expert in a chosen field of study but also to be able to respond to developments, master new approaches to solving problems, and fulfil changing requirements in the modern world and in the job market. In response to these needs key competencies in understanding, developing and using new digital technologies are being brought into focus in school and university programmes. The IFIP TC3 conference "KEYCIT - Key Competences in Informatics and ICT (KEYCIT 2014)" was held at the University of Potsdam in Germany from July 1st to 4th, 2014 and addressed the combination of key competencies, Informatics and ICT in detail. The conference was organized into strands focusing on secondary education, university education and teacher education (organized by IFIP WGs 3.1 and 3.3) and provided a forum to present and to discuss research, case studies, positions, and national perspectives in this field.},
  language  = {en}
}
@inproceedings{RolfBergesHubwieseretal.2010,
  author    = {Rolf, Arno and Berges, Marc and Hubwieser, Peter and Kehrer, Timo and Kelter, Udo and Romeike, Ralf and Frenkel, Marcus and Karsten, Weicker and Reinhardt, Wolfgang and Mascher, Michael and G{\"u}l, Senol and Magenheim, Johannes and Raimer, Stephan and Diethelm, Ira and D{\"u}nnebier, Malte and Gabor, Kiss and Susanne, Boll and Rolf, Meinhardt and Gronewold, Sabine and Krekeler, Larissa and Jahnke, Isa and Haertel, Tobias and Mattick, Volker and Lettow, Karsten and Hafer, J{\"o}rg and Ludwig, Joachim and Schumann, Marlen and Laroque, Christoph and Schulte, Jonas and Urban, Diana},
  title     = {HDI2010 - Tagungsband der 4. Fachtagung zur "Hochschuldidaktik Informatik"},
  editor    = {Engbring, Dieter and Keil, Reinhard and Magenheim, Johannes and Selke, Harald},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-100-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49167},
  pages     = {105},
  year      = {2010},
  abstract  = {Mit der 4. Tagung zur Hochschuldidaktik Informatik wird eine Reihe fortgesetzt, die ihren Anfang 1998 in Stuttgart unter der {\"U}berschrift „Informatik und Ausbildung" genommen hat. Seither dienen diese Tagungen den Lehrenden im Bereich der Hochschulinformatik als Forum der Information und des Diskurses {\"u}ber aktuelle didaktische und bildungspolitische Entwicklungen im Bereich der Informatikausbildung. Aktuell z{\"a}hlen dazu insbesondere Fragen der Bildungsrelevanz informatischer Inhalte und der Herausforderung durch eine st{\"a}rkere Kompetenzorientierung in der Informatik. Die eingereichten Beitr{\"a}ge zur HDI 2010 in Paderborn veranschaulichen unterschiedliche Bem{\"u}hungen, sich mit relevanten Problemen der Informatikdidaktik an Hochschulen in Deutschland (und z. T. auch im Ausland) auseinanderzusetzen. Aus der Breite des Spektrums der Einreichungen ergaben sich zugleich Probleme bei der Begutachtung. Letztlich konnten von den zahlreichen Einreichungen nur drei die Gutachter so {\"u}berzeugen, dass sie uneingeschr{\"a}nkt in ihrer Langfassung akzeptiert wurden. Neun weitere Einreichungen waren trotz Kritik {\"u}berwiegend positiv begutachtet worden, so dass wir diese als Kurzfassung bzw. Diskussionspapier in die Tagung aufgenommen haben.},
  language  = {de}
}
@article{HaferLudwigSchumann2010,
  author    = {Hafer, J{\"o}rg and Ludwig, Joachim and Schumann, Marlen},
  title     = {Fallstudien in medialen R{\"a}umen},
  series = {Commentarii informaticae didacticae : (CID)},
  journal   = {Commentarii informaticae didacticae : (CID)},
  number    = {4},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {1868-0844},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-64431},
  pages     = {93 -- 98},
  year      = {2010},
  abstract  = {Ziel dieses Beitrages ist es, das didaktische Konzept Fallstudien und seine lerntheoretisch-didaktische Begr{\"u}ndung vorzustellen. Es wird die These begr{\"u}ndet, dass mediale R{\"a}ume f{\"u}r die Bearbeitung von Fallstudien lernunterst{\"u}tzend wirken und sich in besonderer Weise f{\"u}r Prozesse der Lernberatung und Lernbegleitung in der Hochschule eignen. Diese These wird entlang dem lerntheoretischen Konzept der Bedeutungsr{\"a}ume von Studierenden in Verbindung mit den Spezifika medialer R{\"a}ume entfaltet. F{\"u}r den daraus entstandenen E-Learning-Ansatz Online-Fallstudien kann hier lediglich ein Ausblick gegeben werden.},
  language  = {de}
}
@article{SchaeferStede2021,
  author    = {Sch{\"a}fer, Robin and Stede, Manfred},
  title     = {Argument mining on twitter},
  series = {Information technology : it ; Methoden und innovative Anwendungen der Informatik und Informationstechnik ; Organ der Fachbereiche 3 und 4 der GI e.V. und des Fachbereichs 6 der ITG},
  volume    = {63},
  journal   = {Information technology : it ; Methoden und innovative Anwendungen der Informatik und Informationstechnik ; Organ der Fachbereiche 3 und 4 der GI e.V. und des Fachbereichs 6 der ITG},
  number    = {1},
  publisher = {De Gruyter},
  address   = {Berlin},
  issn      = {1611-2776},
  doi       = {10.1515/itit-2020-0053},
  pages     = {45 -- 58},
  year      = {2021},
  abstract  = {In the last decade, the field of argument mining has grown notably. However, only relatively few studies have investigated argumentation in social media and specifically on Twitter. Here, we provide the, to our knowledge, first critical in-depth survey of the state of the art in tweet-based argument mining. We discuss approaches to modelling the structure of arguments in the context of tweet corpus annotation, and we review current progress in the task of detecting argument components and their relations in tweets. We also survey the intersection of argument mining and stance detection, before we conclude with an outlook.},
  language  = {en}
}
@misc{ArvidssonKwasniewskiRianoPachonetal.2008,
  author    = {Arvidsson, Samuel Janne and Kwasniewski, Miroslaw and Ria{\~n}o- Pach{\´o}n, Diego Mauricio and Mueller-Roeber, Bernd},
  title     = {QuantPrime},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {943},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43153},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-431531},
  pages     = {17},
  year      = {2008},
  abstract  = {Background Medium- to large-scale expression profiling using quantitative polymerase chain reaction (qPCR) assays are becoming increasingly important in genomics research. A major bottleneck in experiment preparation is the design of specific primer pairs, where researchers have to make several informed choices, often outside their area of expertise. Using currently available primer design tools, several interactive decisions have to be made, resulting in lengthy design processes with varying qualities of the assays. Results Here we present QuantPrime, an intuitive and user-friendly, fully automated tool for primer pair design in small- to large-scale qPCR analyses. QuantPrime can be used online through the internet http://www.quantprime.de/ or on a local computer after download; it offers design and specificity checking with highly customizable parameters and is ready to use with many publicly available transcriptomes of important higher eukaryotic model organisms and plant crops (currently 295 species in total), while benefiting from exon-intron border and alternative splice variant information in available genome annotations. Experimental results with the model plant Arabidopsis thaliana, the crop Hordeum vulgare and the model green alga Chlamydomonas reinhardtii show success rates of designed primer pairs exceeding 96\%. Conclusion QuantPrime constitutes a flexible, fully automated web application for reliable primer design for use in larger qPCR experiments, as proven by experimental data. The flexible framework is also open for simple use in other quantification applications, such as hydrolyzation probe design for qPCR and oligonucleotide probe design for quantitative in situ hybridization. Future suggestions made by users can be easily implemented, thus allowing QuantPrime to be developed into a broad-range platform for the design of RNA expression assays.},
  language  = {en}
}
@article{AyzelHeistermann2021,
  author    = {Ayzel, Georgy and Heistermann, Maik},
  title     = {The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU},
  series = {Computers \& geosciences : an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets ; an official journal of the International Association for Mathematical Geology},
  volume    = {149},
  journal   = {Computers \& geosciences : an international journal devoted to the publication of papers on all aspects of geocomputation and to the distribution of computer programs and test data sets ; an official journal of the International Association for Mathematical Geology},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0098-3004},
  doi       = {10.1016/j.cageo.2021.104708},
  pages     = {12},
  year      = {2021},
  abstract  = {We systematically explore the effect of calibration data length on the performance of a conceptual hydrological model, GR4H, in comparison to two Artificial Neural Network (ANN) architectures: Long Short-Term Memory Networks (LSTM) and Gated Recurrent Units (GRU), which have just recently been introduced to the field of hydrology. We implemented a case study for six river basins across the contiguous United States, with 25 years of meteorological and discharge data. Nine years were reserved for independent validation; two years were used as a warm-up period, one year for each of the calibration and validation periods, respectively; from the remaining 14 years, we sampled increasing amounts of data for model calibration, and found pronounced differences in model performance. While GR4H required less data to converge, LSTM and GRU caught up at a remarkable rate, considering their number of parameters. Also, LSTM and GRU exhibited the higher calibration instability in comparison to GR4H. These findings confirm the potential of modern deep-learning architectures in rainfall runoff modelling, but also highlight the noticeable differences between them in regard to the effect of calibration data length.},
  language  = {en}
}
@article{KossmannHalfpapJankriftetal.2020,
  author    = {Kossmann, Jan and Halfpap, Stefan and Jankrift, Marcel and Schlosser, Rainer},
  title     = {Magic mirror in my hand, which is the best in the land?},
  series = {Proceedings of the VLDB Endowment},
  volume    = {13},
  journal   = {Proceedings of the VLDB Endowment},
  number    = {11},
  publisher = {Association for Computing Machinery},
  address   = {New York},
  issn      = {2150-8097},
  doi       = {10.14778/3407790.3407832},
  pages     = {2382 -- 2395},
  year      = {2020},
  abstract  = {Indexes are essential for the efficient processing of database workloads. Proposed solutions for the relevant and challenging index selection problem range from metadata-based simple heuristics, over sophisticated multi-step algorithms, to approaches that yield optimal results. The main challenges are (i) to accurately determine the effect of an index on the workload cost while considering the interaction of indexes and (ii) a large number of possible combinations resulting from workloads containing many queries and massive schemata with possibly thousands of attributes. <br /> In this work, we describe and analyze eight index selection algorithms that are based on different concepts and compare them along different dimensions, such as solution quality, runtime, multi-column support, solution granularity, and complexity. In particular, we analyze the solutions of the algorithms for the challenging analytical Join Order, TPC-H, and TPC-DS benchmarks. Afterward, we assess strengths and weaknesses, infer insights for index selection in general and each approach individually, before we give recommendations on when to use which approach.},
  language  = {en}
}
@article{KayaFreitag2022,
  author    = {Kaya, Adem and Freitag, Melina A.},
  title     = {Conditioning analysis for discrete Helmholtz problems},
  series = {Computers and mathematics with applications : an international journal},
  volume    = {118},
  journal   = {Computers and mathematics with applications : an international journal},
  publisher = {Elsevier Science},
  address   = {Amsterdam},
  issn      = {0898-1221},
  doi       = {10.1016/j.camwa.2022.05.016},
  pages     = {171 -- 182},
  year      = {2022},
  abstract  = {In this paper, we examine conditioning of the discretization of the Helmholtz problem. Although the discrete Helmholtz problem has been studied from different perspectives, to the best of our knowledge, there is no conditioning analysis for it. We aim to fill this gap in the literature. We propose a novel method in 1D to observe the near-zero eigenvalues of a symmetric indefinite matrix. Standard classification of ill-conditioning based on the matrix condition number is not true for the discrete Helmholtz problem. We relate the ill-conditioning of the discretization of the Helmholtz problem with the condition number of the matrix. We carry out analytical conditioning analysis in 1D and extend our observations to 2D with numerical observations. We examine several discretizations. We find different regions in which the condition number of the problem shows different characteristics. We also explain the general behavior of the solutions in these regions.},
  language  = {en}
}
@article{MattisBeckmannReinetal.2022,
  author    = {Mattis, Toni and Beckmann, Tom and Rein, Patrick and Hirschfeld, Robert},
  title     = {First-class concepts},
  series = {Journal of object technology : JOT / ETH Z{\"u}rich, Department of Computer Science},
  volume    = {21},
  journal   = {Journal of object technology : JOT / ETH Z{\"u}rich, Department of Computer Science},
  number    = {2},
  publisher = {ETH Z{\"u}rich, Department of Computer Science},
  address   = {Z{\"u}rich},
  issn      = {1660-1769},
  doi       = {10.5381/jot.2022.21.2.a6},
  pages     = {1 -- 15},
  year      = {2022},
  abstract  = {Ideally, programs are partitioned into independently maintainable and understandable modules. As a system grows, its architecture gradually loses the capability to accommodate new concepts in a modular way. While refactoring is expensive and not always possible, and the programming language might lack dedicated primary language constructs to express certain cross-cutting concerns, programmers are still able to explain and delineate convoluted concepts through secondary means: code comments, use of whitespace and arrangement of code, documentation, or communicating tacit knowledge. <br /> Secondary constructs are easy to change and provide high flexibility in communicating cross-cutting concerns and other concepts among programmers. However, such secondary constructs usually have no reified representation that can be explored and manipulated as first-class entities through the programming environment. <br /> In this exploratory work, we discuss novel ways to express a wide range of concepts, including cross-cutting concerns, patterns, and lifecycle artifacts independently of the dominant decomposition imposed by an existing architecture. We propose the representation of concepts as first-class objects inside the programming environment that retain the capability to change as easily as code comments. We explore new tools that allow programmers to view, navigate, and change programs based on conceptual perspectives. In a small case study, we demonstrate how such views can be created and how the programming experience changes from draining programmers' attention by stretching it across multiple modules toward focusing it on cohesively presented concepts. Our designs are geared toward facilitating multiple secondary perspectives on a system to co-exist in symbiosis with the original architecture, hence making it easier to explore, understand, and explain complex contexts and narratives that are hard or impossible to express using primary modularity constructs.},
  language  = {en}
}
@article{KoumarelasJiangNaumann2020,
  author    = {Koumarelas, Ioannis and Jiang, Lan and Naumann, Felix},
  title     = {Data preparation for duplicate detection},
  series = {Journal of data and information quality : (JDIQ)},
  volume    = {12},
  journal   = {Journal of data and information quality : (JDIQ)},
  number    = {3},
  publisher = {Association for Computing Machinery},
  address   = {New York},
  issn      = {1936-1955},
  doi       = {10.1145/3377878},
  pages     = {24},
  year      = {2020},
  abstract  = {Data errors represent a major issue in most application workflows. Before any important task can take place, a certain data quality has to be guaranteed by eliminating a number of different errors that may appear in data. Typically, most of these errors are fixed with data preparation methods, such as whitespace removal. However, the particular error of duplicate records, where multiple records refer to the same entity, is usually eliminated independently with specialized techniques. Our work is the first to bring these two areas together by applying data preparation operations under a systematic approach prior to performing duplicate detection. <br /> Our process workflow can be summarized as follows: It begins with the user providing as input a sample of the gold standard, the actual dataset, and optionally some constraints to domain-specific data preparations, such as address normalization. The preparation selection operates in two consecutive phases. First, to vastly reduce the search space of ineffective data preparations, decisions are made based on the improvement or worsening of pair similarities. Second, using the remaining data preparations an iterative leave-one-out classification process removes preparations one by one and determines the redundant preparations based on the achieved area under the precision-recall curve (AUC-PR). Using this workflow, we manage to improve the results of duplicate detection up to 19\% in AUC-PR.},
  language  = {en}
}
@article{KossmannSchlosser2020,
  author    = {Kossmann, Jan and Schlosser, Rainer},
  title     = {Self-driving database systems},
  series = {Distributed and parallel databases},
  volume    = {38},
  journal   = {Distributed and parallel databases},
  number    = {4},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {0926-8782},
  doi       = {10.1007/s10619-020-07288-w},
  pages     = {795 -- 817},
  year      = {2020},
  abstract  = {Challenges for self-driving database systems, which tune their physical design and configuration autonomously, are manifold: Such systems have to anticipate future workloads, find robust configurations efficiently, and incorporate knowledge gained by previous actions into later decisions. We present a component-based framework for self-driving database systems that enables database integration and development of self-managing functionality with low overhead by relying on separation of concerns. By keeping the components of the framework reusable and exchangeable, experiments are simplified, which promotes further research in that area. Moreover, to optimize multiple mutually dependent features, e.g., index selection and compression configurations, we propose a linear programming (LP) based algorithm to derive an efficient tuning order automatically. Afterwards, we demonstrate the applicability and scalability of our approach with reproducible examples.},
  language  = {en}
}
@phdthesis{Hosp2015,
  author    = {Hosp, Sven},
  title     = {Modifizierte Cross-Party Codes zur schnellen Mehrbit-Fehlerkorrektur},
  pages     = {105},
  year      = {2015},
  language  = {de}
}
@article{SchneiderWenigPapenbrock2021,
  author    = {Schneider, Johannes and Wenig, Phillip and Papenbrock, Thorsten},
  title     = {Distributed detection of sequential anomalies in univariate time series},
  series = {The VLDB journal : the international journal on very large data bases},
  volume    = {30},
  journal   = {The VLDB journal : the international journal on very large data bases},
  number    = {4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1066-8888},
  doi       = {10.1007/s00778-021-00657-6},
  pages     = {579 -- 602},
  year      = {2021},
  abstract  = {The automated detection of sequential anomalies in time series is an essential task for many applications, such as the monitoring of technical systems, fraud detection in high-frequency trading, or the early detection of disease symptoms. All these applications require the detection to find all sequential anomalies possibly fast on potentially very large time series. In other words, the detection needs to be effective, efficient and scalable w.r.t. the input size. Series2Graph is an effective solution based on graph embeddings that are robust against re-occurring anomalies and can discover sequential anomalies of arbitrary length and works without training data. Yet, Series2Graph is no t scalable due to its single-threaded approach; it cannot, in particular, process arbitrarily large sequences due to the memory constraints of a single machine. In this paper, we propose our distributed anomaly detection system, short DADS, which is an efficient and scalable adaptation of Series2Graph. Based on the actor programming model, DADS distributes the input time sequence, intermediate state and the computation to all processors of a cluster in a way that minimizes communication costs and synchronization barriers. Our evaluation shows that DADS is orders of magnitude faster than S2G, scales almost linearly with the number of processors in the cluster and can process much larger input sequences due to its scale-out property.},
  language  = {en}
}
@article{Kleemann2021,
  author    = {Kleemann, Steven},
  title     = {Cyber warfare and the "humanization" of international humanitarian law},
  series = {International journal of cyber warfare and terrorism},
  volume    = {11},
  journal   = {International journal of cyber warfare and terrorism},
  number    = {2},
  publisher = {IGI Global},
  address   = {Hershey},
  isbn      = {978-1-7998-6177-5},
  issn      = {1947-3435},
  doi       = {10.4018/IJCWT.2021040101},
  pages     = {1 -- 11},
  year      = {2021},
  abstract  = {Cyber warfare is a timely and relevant issue and one of the most controversial in international humanitarian law (IHL). The aim of IHL is to set rules and limits in terms of means and methods of warfare. In this context, a key question arises: Has digital warfare rules or limits, and if so, how are these applicable? Traditional principles, developed over a long period, are facing a new dimension of challenges due to the rise of cyber warfare. This paper argues that to overcome this new issue, it is critical that new humanity-oriented approaches is developed with regard to cyber warfare. The challenge is to establish a legal regime for cyber-attacks, successfully addressing human rights norms and standards. While clarifying this from a legal perspective, the authors can redesign the sensitive equilibrium between humanity and military necessity, weighing the humanitarian aims of IHL and the protection of civilians-in combination with international human rights law and other relevant legal regimes-in a different manner than before.},
  language  = {en}
}
@inproceedings{BandaGallagher2010,
  author    = {Banda, Gourinath and Gallagher, John P.},
  title     = {Constraint-based abstraction of a model checker for infinite state systems},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-41516},
  year      = {2010},
  abstract  = {Abstract interpretation-based model checking provides an approach to verifying properties of infinite-state systems. In practice, most previous work on abstract model checking is either restricted to verifying universal properties, or develops special techniques for temporal logics such as modal transition systems or other dual transition systems. By contrast we apply completely standard techniques for constructing abstract interpretations to the abstraction of a CTL semantic function, without restricting the kind of properties that can be verified. Furthermore we show that this leads directly to implementation of abstract model checking algorithms for abstract domains based on constraints, making use of an SMT solver.},
  language  = {en}
}
@book{MeyerSmirnovWeske2011,
  author    = {Meyer, Andreas and Smirnov, Sergey and Weske, Mathias},
  title     = {Data in business processes},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-144-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-53046},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {40},
  year      = {2011},
  abstract  = {Process and data are equally important for business process management. Process data is especially relevant in the context of automated business processes, process controlling, and representation of organizations' core assets. One can discover many process modeling languages, each having a specific set of data modeling capabilities and the level of data awareness. The level of data awareness and data modeling capabilities vary significantly from one language to another. This paper evaluates several process modeling languages with respect to the role of data. To find a common ground for comparison, we develop a framework, which systematically organizes process- and data-related aspects of the modeling languages elaborating on the data aspects. Once the framework is in place, we compare twelve process modeling languages against it. We generalize the results of the comparison and identify clusters of similar languages with respect to data awareness.},
  language  = {de}
}