@article{7255, author = {{Grieger, Marvin and Fazal-Baqaie, Masud}}, journal = {{Softwaretechnik-Trends, Proceedings of the 17th Workshop Software-Reengineering (WSRE)}}, number = {{2}}, pages = {{41--42}}, title = {{{Towards a Framework for the Modular Construction of Situation-Specific Software Transformation Methods}}}, volume = {{35}}, year = {{2015}}, } @inproceedings{7256, author = {{Güldali, Baris and Rose, Mirko and Teetz, Alexander and Flake, Stephan and Rust, Carsten}}, title = {{{Modellbasiertes Testen bei der Entwicklung einer IKT-Infrastruktur für Elektromobilität}}}, year = {{2015}}, } @article{7257, author = {{Huma, Zille and Gerth, Christian and Engels, Gregor}}, journal = {{Computer Science - Research and Development}}, number = {{3-4}}, pages = {{333--361}}, title = {{{On-the-Fly Computing: Automatic Service Discovery and Composition in Heterogeneous Domains}}}, volume = {{30}}, year = {{2015}}, } @inproceedings{739, author = {{A. Aranda-Gutierrez, Pedro and Karl, Holger and Rojas, Elisa and Leckey, Alec}}, booktitle = {{2015 European Conference on Networks and Communications, EuCNC 2015, Paris, France, June 29 - July 2, 2015}}, pages = {{429----433}}, title = {{{On Network Application representation and controller independence in {SDN}}}, doi = {{10.1109/EuCNC.2015.7194112}}, year = {{2015}}, } @inproceedings{742, author = {{Blanckenstein, Johannes and Nardin, Cristina and Klaue, Jirka and Karl, Holger}}, booktitle = {{{IEEE} International Conference on Communication, {ICC} 2015, London, United Kingdom, June 8-12, 2015, Workshop Proceedings}}, pages = {{2363----2368}}, title = {{{Error characterization of multi-access point WSNs in an aircraft cabin}}}, doi = {{10.1109/ICCW.2015.7247534}}, year = {{2015}}, } @inproceedings{743, author = {{Schwabe, Arne and Karl, Holger}}, booktitle = {{2015 IEEE International Conference on Communications, ICC 2015, London, United Kingdom, June 8-12, 2015}}, pages = {{6122----6127}}, title = {{{Topology model to generate realistic latency for simulations}}}, doi = {{10.1109/ICC.2015.7249298}}, year = {{2015}}, } @inproceedings{745, author = {{Dräxler, Martin and Blobel, Johannes and Karl, Holger}}, booktitle = {{8th IFIP Wireless and Mobile Networking Conference, WMNC 2015, Munich, Germany, October 5-7, 2015}}, pages = {{136----143}}, title = {{{Anticipatory Download Scheduling in Wireless Video Streaming with Uncertain Data Rate Prediction}}}, doi = {{10.1109/WMNC.2015.21}}, year = {{2015}}, } @inproceedings{746, author = {{Wette, Philip and Schwabe, Arne and Splietker, Malte and Karl, Holger}}, booktitle = {{Proceedings of the 1st {IEEE} Conference on Network Softwarization, NetSoft 2015, London, United Kingdom, April 13-17, 2015}}, pages = {{1----2}}, title = {{{Extending Hadoop's Yarn Scheduler Load Simulator with a highly realistic network & traffic model}}}, doi = {{10.1109/NETSOFT.2015.7116169}}, year = {{2015}}, } @inproceedings{747, author = {{Auroux, Sébastien and Karl, Holger}}, booktitle = {{26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015, Hong Kong, China, August 30 - September 2, 2015}}, pages = {{1850----1855}}, title = {{{Flexible reassignment of flow processing-aware controllers in future wireless networks}}}, doi = {{10.1109/PIMRC.2015.7343600}}, year = {{2015}}, } @inproceedings{748, author = {{Auroux, Sébastien and Karl, Holger}}, booktitle = {{2015 IEEE Wireless Communications and Networking Conference, WCNC 2015, New Orleans, LA, USA, March 9-12, 2015}}, pages = {{1787----1792}}, title = {{{Efficient flow processing-aware controller placement in future wireless networks}}}, doi = {{10.1109/WCNC.2015.7127739}}, year = {{2015}}, } @unpublished{749, author = {{Dräxler, Sevil and Karl, Holger}}, booktitle = {{CoRR}}, title = {{{Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model}}}, year = {{2015}}, } @unpublished{750, author = {{Dräxler, Martin and Karl, Holger}}, booktitle = {{CoRR}}, title = {{{Dynamic Backhaul Network Configuration in SDN-based Cloud RANs}}}, year = {{2015}}, } @phdthesis{7568, abstract = {{Today's web search and big data analytics applications aim to address information needs~(typically given in the form of search queries) ad-hoc on large numbers of texts. In order to directly return relevant information instead of only returning potentially relevant texts, these applications have begun to employ text mining. The term text mining covers tasks that deal with the inference of structured high-quality information from collections and streams of unstructured input texts. Text mining requires task-specific text analysis processes that may consist of several interdependent steps. These processes are realized with sequences of algorithms from information extraction, text classification, and natural language processing. However, the use of such text analysis pipelines is still restricted to addressing a few predefined information needs. We argue that the reasons behind are three-fold: First, text analysis pipelines are usually made manually in respect of the given information need and input texts, because their design requires expert knowledge about the algorithms to be employed. When information needs have to be addressed that are unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text analysis pipelines tend to be inefficient in terms of run-time, because their execution often includes analyzing texts with computationally expensive algorithms. When information needs have to be addressed ad-hoc, text mining hence cannot be performed in the large. And third, text analysis pipelines tend not to robustly achieve high effectiveness on all texts, because their results are often inferred by algorithms that rely on domain-dependent features of texts. Hence, text mining currently cannot guarantee to infer high-quality information. In this thesis, we contribute to the question of how to address information needs from text mining ad-hoc in an efficient and domain-robust manner. We observe that knowledge about a text analysis process and information obtained within the process help to improve the design, the execution, and the results of the pipeline that realizes the process. To this end, we apply different techniques from classical and statistical artificial intelligence. In particular, we first develop knowledge-based approaches for an ad-hoc pipeline construction and for an optimal execution of a pipeline on its input. Then, we show theoretically and practically how to optimize and adapt the schedule of the algorithms in a pipeline based on information in the analyzed input texts in order to maximize execution efficiency. Finally, we learn patterns in the argumentation structures of texts statistically that remain strongly invariant across domains and that, thereby, allow for more robust analysis results in a restricted set of tasks. We formally analyze all developed approaches and we implement them as open-source software applications. Based on these applications, we evaluate the approaches on established and on newly created collections of texts for scientifically and industrially important text analysis tasks, such as financial event extraction and fine-grained sentiment analysis. Our findings show that text analysis pipelines can be designed automatically, which process only portions of text that are relevant for the information need at hand. Through scheduling, the run-time efficiency of pipelines can be improved by up to more than one order of magnitude while maintaining effectiveness. Moreover, we provide evidence that a pipeline's domain robustness substantially benefits from focusing on argumentation structure in tasks like sentiment analysis. We conclude that our approaches denote essential building blocks of enabling ad-hoc large-scale text mining in web search and big data analytics applications.}}, author = {{Wachsmuth, Henning}}, title = {{{Pipelines for Ad-hoc Large-scale Text Mining}}}, year = {{2015}}, } @inproceedings{8491, author = {{Derakhshanmanesh , Mahdi and Ebert , Jürgen and Grieger, Marvin }}, booktitle = {{Proceedings of the 2nd International Workshop on Model-Driven Engineering for Component-Based Software Systems co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2015)}}, pages = {{6--11}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{Challenges for Model-Integrating Components}}}, volume = {{1463}}, year = {{2015}}, } @inproceedings{8492, author = {{Derakhshanmanesh , Mahdi and Grieger, Marvin }}, booktitle = {{Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015}}, pages = {{112--114}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On Enabling Technologies for Longevity in Software}}}, volume = {{1337}}, year = {{2015}}, } @inproceedings{8493, author = {{Derakhshanmanesh , Mahdi and Grieger , Marvin and Ebert, Jürgen }}, booktitle = {{Proceedings of the 10th Workshop on Models@run.time co-located with 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015)}}, pages = {{21--30}}, publisher = {{CEUR Workshop Proceedings}}, title = {{{On the Need for Transactional Models@Run.Time}}}, volume = {{1474}}, year = {{2015}}, } @inproceedings{986, abstract = {{The increasing amount of mobile traffic leads to a significantly higher energy consumption of mobile networks that is mainly caused by the high number of required base stations. One recent solution for this is based on a two-layered network that uses long-range macro cells to provide a full coverage signaling overlay and short-range small cells for fast data transmissions. These small cells can be switched off when they are not needed and allow network-wide energy optimizations. This paper presents an architecture that extends existing mobile networks to integrate a small cell layer that supports on-demand cell activation. We discuss how additional small cells can be interconnected with existing core components and how they can be controlled by a resource management component. Finally, a Wi-Fi based proof of concept testbed implementation is presented that demonstrates the feasibility of the approach.}}, author = {{Peuster, Manuel and Karl, Holger}}, booktitle = {{Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges}}, location = {{London}}, title = {{{An Architecture for Energy-aware On-demand Mobile Network Management}}}, year = {{2015}}, } @inproceedings{5207, author = {{Li, Li and Bartel, Alexandre and Bissyande, Tegawende F. and Klein, Jacques and Le Traon, Yves and Arzt, Steven and Rasthofer, Siegfried and Bodden, Eric and Octeau, Damien and McDaniel, Patrick}}, booktitle = {{2015 International Conference on Software Engineering (ICSE)}}, isbn = {{978-1-4799-1934-5}}, keywords = {{CROSSING, ATTRACT, ITSECWEBSITE}}, pages = {{280--291}}, title = {{{IccTA: Detecting Inter-Component Privacy Leaks in Android Apps}}}, year = {{2015}}, } @misc{5413, author = {{Funke, Lukas}}, publisher = {{Universität Paderborn}}, title = {{{An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications using FPGA Overlay Architectures}}}, year = {{2015}}, } @misc{5416, author = {{Löcke, Thomas}}, publisher = {{Universität Paderborn}}, title = {{{Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems}}}, year = {{2015}}, }