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Kolloquium: Gemeinsame Forschung in Der Klebtechnik</i>, edited by DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V., 2021.","short":"N. Chudalla, G. Meschut, A. Bartley, T.M. Wibbeke, in: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.), 21. Kolloquium: Gemeinsame Forschung in Der Klebtechnik, 2021.","apa":"Chudalla, N., Meschut, G., Bartley, A., &#38; Wibbeke, T. M. (2021). Analyse des Versagensverhaltens geklebter Stahl Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung. In DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V. (Ed.), <i>21. Kolloquium: Gemeinsame Forschung in der Klebtechnik</i>.","ama":"Chudalla N, Meschut G, Bartley A, Wibbeke TM. Analyse des Versagensverhaltens geklebter Stahl Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung. In: DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V., ed. <i>21. Kolloquium: Gemeinsame Forschung in Der Klebtechnik</i>. ; 2021.","chicago":"Chudalla, Nick, Gerson Meschut, Aurélie Bartley, and Tim Michael Wibbeke. “Analyse Des Versagensverhaltens Geklebter Stahl Verbindungen Beim Werkstoffschonenden Entfügen in Der Karosserieinstandsetzung.” In <i>21. Kolloquium: Gemeinsame Forschung in Der Klebtechnik</i>, edited by DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie e.V., 2021.","ieee":"N. Chudalla, G. Meschut, A. Bartley, and T. M. Wibbeke, “Analyse des Versagensverhaltens geklebter Stahl Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung,” in <i>21. 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Kolloquium: Gemeinsame Forschung in der Klebtechnik","end_date":"2021-03-03"},"title":"Analyse des Versagensverhaltens geklebter Stahl Verbindungen beim werkstoffschonenden Entfügen in der Karosserieinstandsetzung"},{"status":"public","type":"conference_abstract","language":[{"iso":"eng"}],"keyword":["Micromechanics","Fast Fourier Transform (FFT)","Reduced Order Modelling","Homogenization"],"ddc":["620"],"department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"user_id":"72722","_id":"21442","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"apa":"Tinkloh, S. R., Wu, T., Tröster, T., &#38; Niendorf, T. (2021). Development of a submodel technique for FFT-based solvers in micromechanical analysis. Presented at the 2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online).","bibtex":"@inproceedings{Tinkloh_Wu_Tröster_Niendorf_2021, title={Development of a submodel technique for FFT-based solvers in micromechanical analysis}, author={Tinkloh, Steffen Rainer and Wu, Tao and Tröster, Thomas and Niendorf, Thomas}, year={2021} }","mla":"Tinkloh, Steffen Rainer, et al. <i>Development of a Submodel Technique for FFT-Based Solvers in Micromechanical Analysis</i>. 2021.","short":"S.R. Tinkloh, T. Wu, T. Tröster, T. Niendorf, in: 2021.","chicago":"Tinkloh, Steffen Rainer, Tao Wu, Thomas Tröster, and Thomas Niendorf. “Development of a Submodel Technique for FFT-Based Solvers in Micromechanical Analysis,” 2021.","ieee":"S. R. Tinkloh, T. Wu, T. Tröster, and T. Niendorf, “Development of a submodel technique for FFT-based solvers in micromechanical analysis,” presented at the 2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online), 2021.","ama":"Tinkloh SR, Wu T, Tröster T, Niendorf T. Development of a submodel technique for FFT-based solvers in micromechanical analysis. In: ; 2021."},"year":"2021","conference":{"name":"2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online)","start_date":"2021-03-05","end_date":"2021-03-07"},"title":"Development of a submodel technique for FFT-based solvers in micromechanical analysis","author":[{"first_name":"Steffen Rainer","last_name":"Tinkloh","id":"72722","full_name":"Tinkloh, Steffen Rainer"},{"full_name":"Wu, Tao","last_name":"Wu","first_name":"Tao"},{"first_name":"Thomas","id":"553","full_name":"Tröster, Thomas","last_name":"Tröster"},{"last_name":"Niendorf","full_name":"Niendorf, Thomas","first_name":"Thomas"}],"date_created":"2021-03-11T09:29:55Z","date_updated":"2022-01-06T06:54:59Z"},{"user_id":"88831","department":[{"_id":"646"}],"_id":"21460","language":[{"iso":"eng"}],"extern":"1","type":"journal_article","publication":"Journal of Decision Systems","status":"public","author":[{"first_name":"Nicholas R. J.","last_name":"Frick","full_name":"Frick, Nicholas R. J."},{"first_name":"Milad","last_name":"Mirbabaie","id":"88691","full_name":"Mirbabaie, Milad"},{"full_name":"Stieglitz, Stefan","last_name":"Stieglitz","first_name":"Stefan"},{"last_name":"Salomon","full_name":"Salomon, Jana","first_name":"Jana"}],"date_created":"2021-03-12T08:43:45Z","date_updated":"2022-01-06T06:55:00Z","doi":"10.1080/12460125.2020.1870065","title":"Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises","publication_status":"published","publication_identifier":{"issn":["1246-0125","2116-7052"]},"citation":{"apa":"Frick, N. R. J., Mirbabaie, M., Stieglitz, S., &#38; Salomon, J. (2021). Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. <i>Journal of Decision Systems</i>, 1–24. <a href=\"https://doi.org/10.1080/12460125.2020.1870065\">https://doi.org/10.1080/12460125.2020.1870065</a>","mla":"Frick, Nicholas R. J., et al. “Maneuvering through the Stormy Seas of Digital Transformation: The Impact of Empowering Leadership on the AI Readiness of Enterprises.” <i>Journal of Decision Systems</i>, 2021, pp. 1–24, doi:<a href=\"https://doi.org/10.1080/12460125.2020.1870065\">10.1080/12460125.2020.1870065</a>.","short":"N.R.J. Frick, M. Mirbabaie, S. Stieglitz, J. Salomon, Journal of Decision Systems (2021) 1–24.","bibtex":"@article{Frick_Mirbabaie_Stieglitz_Salomon_2021, title={Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises}, DOI={<a href=\"https://doi.org/10.1080/12460125.2020.1870065\">10.1080/12460125.2020.1870065</a>}, journal={Journal of Decision Systems}, author={Frick, Nicholas R. J. and Mirbabaie, Milad and Stieglitz, Stefan and Salomon, Jana}, year={2021}, pages={1–24} }","ieee":"N. R. J. Frick, M. Mirbabaie, S. Stieglitz, and J. Salomon, “Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises,” <i>Journal of Decision Systems</i>, pp. 1–24, 2021.","chicago":"Frick, Nicholas R. J., Milad Mirbabaie, Stefan Stieglitz, and Jana Salomon. “Maneuvering through the Stormy Seas of Digital Transformation: The Impact of Empowering Leadership on the AI Readiness of Enterprises.” <i>Journal of Decision Systems</i>, 2021, 1–24. <a href=\"https://doi.org/10.1080/12460125.2020.1870065\">https://doi.org/10.1080/12460125.2020.1870065</a>.","ama":"Frick NRJ, Mirbabaie M, Stieglitz S, Salomon J. Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. <i>Journal of Decision Systems</i>. 2021:1-24. doi:<a href=\"https://doi.org/10.1080/12460125.2020.1870065\">10.1080/12460125.2020.1870065</a>"},"page":"1-24","year":"2021"},{"status":"public","abstract":[{"lang":"eng","text":"In this work we use autonomous vehicles to improve the performance of Wireless Sensor Networks (WSNs). In contrast to other autonomous vehicle applications, WSNs have two metrics for performance evaluation. First, quality of information (QoI) which is used to measure the quality of sensed data (e.g., measurement uncertainties or signal strength). Second, quality of service (QoS) which is used to measure the network's performance for data forwarding (e.g., delay and packet losses). As a use case, we consider wireless acoustic sensor networks, where a group of speakers move inside a room and there are autonomous vehicles installed with microphones for streaming the audio data. We formulate the problem as a Markov decision problem (MDP) and solve it using Deep-Q-Networks (DQN). Additionally, we compare the performance of DQN solution to two different real-world implementations: speakers holding/passing microphones and microphones being preinstalled in fixed positions. We show that the performance of autonomous vehicles in terms of QoI and QoS is better than the real-world implementation in some scenarios. Moreover, we study the impact of the vehicles speed on the learning process of the DQN solution and show how low speeds degrade the performance. Finally, we compare the DQN solution to a heuristic one and provide theoretical analysis of the performance with respect to dynamic WSNs."}],"publication":"2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC'21 - IoTSN Symposium)","type":"conference","language":[{"iso":"eng"}],"user_id":"65718","_id":"21478","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"citation":{"apa":"Afifi, H., Ramaswamy, A., &#38; Karl, H. (2021). Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks. In <i>2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)</i>. Montreal, Canada.","short":"H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium), Montreal, Canada, 2021.","bibtex":"@inproceedings{Afifi_Ramaswamy_Karl_2021, place={Montreal, Canada}, title={Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks}, booktitle={2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)}, author={Afifi, Haitham and Ramaswamy, Arunselvan and Karl, Holger}, year={2021} }","mla":"Afifi, Haitham, et al. “Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks.” <i>2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)</i>, 2021.","ama":"Afifi H, Ramaswamy A, Karl H. Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks. In: <i>2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)</i>. Montreal, Canada; 2021.","ieee":"H. Afifi, A. Ramaswamy, and H. Karl, “Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks,” in <i>2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)</i>, 2021.","chicago":"Afifi, Haitham, Arunselvan Ramaswamy, and Holger Karl. “Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks.” In <i>2021 IEEE International Conference on Communications (ICC): IoT and Sensor Networks Symposium (IEEE ICC’21 - IoTSN Symposium)</i>. Montreal, Canada, 2021."},"place":"Montreal, Canada","year":"2021","title":"Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks","date_created":"2021-03-12T16:02:04Z","author":[{"id":"65718","full_name":"Afifi, Haitham","last_name":"Afifi","first_name":"Haitham"},{"first_name":"Arunselvan","last_name":"Ramaswamy","orcid":"https://orcid.org/ 0000-0001-7547-8111","id":"66937","full_name":"Ramaswamy, Arunselvan"},{"full_name":"Karl, Holger","id":"126","last_name":"Karl","first_name":"Holger"}],"date_updated":"2022-01-06T06:55:00Z"},{"title":"A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks","date_updated":"2022-01-06T06:55:00Z","author":[{"id":"65718","full_name":"Afifi, Haitham","last_name":"Afifi","first_name":"Haitham"},{"last_name":"Ramaswamy","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","id":"66937","first_name":"Arunselvan"},{"first_name":"Holger","id":"126","full_name":"Karl, Holger","last_name":"Karl"}],"date_created":"2021-03-12T16:03:53Z","year":"2021","citation":{"mla":"Afifi, Haitham, et al. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” <i>2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)</i>, 2021.","bibtex":"@inproceedings{Afifi_Ramaswamy_Karl_2021, title={A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks}, booktitle={2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)}, author={Afifi, Haitham and Ramaswamy, Arunselvan and Karl, Holger}, year={2021} }","short":"H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021), 2021.","apa":"Afifi, H., Ramaswamy, A., &#38; Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In <i>2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)</i>.","chicago":"Afifi, Haitham, Arunselvan Ramaswamy, and Holger Karl. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” In <i>2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)</i>, 2021.","ieee":"H. Afifi, A. Ramaswamy, and H. Karl, “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks,” in <i>2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)</i>, 2021.","ama":"Afifi H, Ramaswamy A, Karl H. A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In: <i>2021 IEEE 18th Annual Consumer Communications \\&#38; Networking Conference (CCNC) (CCNC 2021)</i>. ; 2021."},"keyword":["reinforcement learning","wireless sensor networks","resource allocation","acoustic sensor networks"],"language":[{"iso":"eng"}],"_id":"21479","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"user_id":"65718","abstract":[{"lang":"eng","text":"Two of the most important metrics when developing Wireless Sensor Networks (WSNs) applications are the Quality of Information (QoI) and Quality of Service (QoS). The former is used to specify the quality of the collected data by the sensors (e.g., measurements error or signal's intensity), while the latter defines the network's performance and availability (e.g., packet losses and latency). In this paper, we consider an example of wireless acoustic sensor networks, where we select a subset of microphones for two different objectives. First, we maximize the recording quality under QoS constraints. Second, we apply a trade-off between QoI and QoS. We formulate the problem as a constrained Markov Decision Problem (MDP) and solve it using reinforcement learning (RL). We compare the RL solution to a baseline model and show that in case of QoS-guarantee objective, the RL solution has an optimality gap up to 1\\%. Meanwhile, the RL solution is better than the baseline with improvements up to 23\\%, when using the trade-off objective."}],"status":"public","publication":"2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021)","type":"conference"},{"language":[{"iso":"eng"}],"user_id":"477","department":[{"_id":"276"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"_id":"8","name":"SFB 901 - Subproject A4"}],"_id":"21525","status":"public","type":"conference","conference":{"location":"Virtual Conference/Workshop","name":"Sixth Workshop on Information System Design and Economic Behavior (ISDEB 2021)"},"title":"The Fate of the App: Economic Implications of Updating under Reputation Resetting","date_created":"2021-03-17T13:11:24Z","author":[{"last_name":"Gutt","full_name":"Gutt, Dominik","first_name":"Dominik"},{"last_name":"Neumann","full_name":"Neumann, Jürgen","id":"32456","first_name":"Jürgen"},{"full_name":"Jabr, Wael","last_name":"Jabr","first_name":"Wael"},{"last_name":"Kundisch","full_name":"Kundisch, Dennis","id":"21117","first_name":"Dennis"}],"date_updated":"2022-01-06T06:55:03Z","citation":{"apa":"Gutt, D., Neumann, J., Jabr, W., &#38; Kundisch, D. (2021). The Fate of the App: Economic Implications of Updating under Reputation Resetting. Presented at the Sixth Workshop on Information System Design and Economic Behavior (ISDEB 2021), Virtual Conference/Workshop.","bibtex":"@inproceedings{Gutt_Neumann_Jabr_Kundisch_2021, title={The Fate of the App: Economic Implications of Updating under Reputation Resetting}, author={Gutt, Dominik and Neumann, Jürgen and Jabr, Wael and Kundisch, Dennis}, year={2021} }","short":"D. Gutt, J. Neumann, W. Jabr, D. Kundisch, in: 2021.","mla":"Gutt, Dominik, et al. <i>The Fate of the App: Economic Implications of Updating under Reputation Resetting</i>. 2021.","ieee":"D. Gutt, J. Neumann, W. Jabr, and D. Kundisch, “The Fate of the App: Economic Implications of Updating under Reputation Resetting,” presented at the Sixth Workshop on Information System Design and Economic Behavior (ISDEB 2021), Virtual Conference/Workshop, 2021.","chicago":"Gutt, Dominik, Jürgen Neumann, Wael Jabr, and Dennis Kundisch. “The Fate of the App: Economic Implications of Updating under Reputation Resetting,” 2021.","ama":"Gutt D, Neumann J, Jabr W, Kundisch D. The Fate of the App: Economic Implications of Updating under Reputation Resetting. In: ; 2021."},"year":"2021"},{"year":"2021","intvolume":"        25","citation":{"ama":"Görzen T. “What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing. <i>International Journal of Innovation Management</i>. 2021;25(1). doi:<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>","ieee":"T. Görzen, “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing,” <i>International Journal of Innovation Management</i>, vol. 25, no. 1, 2021.","chicago":"Görzen, Thomas. “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing.” <i>International Journal of Innovation Management</i> 25, no. 1 (2021). <a href=\"https://doi.org/10.1142/S1363919621500079\">https://doi.org/10.1142/S1363919621500079</a>.","apa":"Görzen, T. (2021). “What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing. <i>International Journal of Innovation Management</i>, <i>25</i>(1). <a href=\"https://doi.org/10.1142/S1363919621500079\">https://doi.org/10.1142/S1363919621500079</a>","mla":"Görzen, Thomas. “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing.” <i>International Journal of Innovation Management</i>, vol. 25, no. 1, 2021, doi:<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>.","bibtex":"@article{Görzen_2021, title={“What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing}, volume={25}, DOI={<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>}, number={1}, journal={International Journal of Innovation Management}, author={Görzen, Thomas}, year={2021} }","short":"T. Görzen, International Journal of Innovation Management 25 (2021)."},"publication_status":"published","issue":"1","title":"“What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing","doi":"10.1142/S1363919621500079","date_updated":"2022-01-06T06:55:03Z","volume":25,"author":[{"id":"47700","full_name":"Görzen, Thomas","last_name":"Görzen","first_name":"Thomas"}],"date_created":"2021-03-18T10:20:22Z","status":"public","publication":"International Journal of Innovation Management","type":"journal_article","language":[{"iso":"eng"}],"_id":"21532","department":[{"_id":"276"}],"user_id":"16205"},{"date_updated":"2022-01-06T06:55:03Z","author":[{"first_name":"Viktor","full_name":"Bengs, Viktor","last_name":"Bengs"},{"first_name":"Róbert","full_name":"Busa-Fekete, Róbert","last_name":"Busa-Fekete"},{"full_name":"El Mesaoudi-Paul, Adil","last_name":"El Mesaoudi-Paul","first_name":"Adil"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"date_created":"2021-03-18T11:15:38Z","volume":22,"title":"Preference-based Online Learning with Dueling Bandits: A Survey","quality_controlled":"1","issue":"7","year":"2021","citation":{"apa":"Bengs, V., Busa-Fekete, R., El Mesaoudi-Paul, A., &#38; Hüllermeier, E. (2021). Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>, <i>22</i>(7), 1–108.","mla":"Bengs, Viktor, et al. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, 2021, pp. 1–108.","short":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, E. Hüllermeier, Journal of Machine Learning Research 22 (2021) 1–108.","bibtex":"@article{Bengs_Busa-Fekete_El Mesaoudi-Paul_Hüllermeier_2021, title={Preference-based Online Learning with Dueling Bandits: A Survey}, volume={22}, number={7}, journal={Journal of Machine Learning Research}, author={Bengs, Viktor and Busa-Fekete, Róbert and El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}, year={2021}, pages={1–108} }","ieee":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, and E. Hüllermeier, “Preference-based Online Learning with Dueling Bandits: A Survey,” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, pp. 1–108, 2021.","chicago":"Bengs, Viktor, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, and Eyke Hüllermeier. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i> 22, no. 7 (2021): 1–108.","ama":"Bengs V, Busa-Fekete R, El Mesaoudi-Paul A, Hüllermeier E. Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>. 2021;22(7):1-108."},"page":"1-108","intvolume":"        22","_id":"21535","user_id":"76599","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Journal of Machine Learning Research","status":"public"},{"type":"conference","status":"public","user_id":"35343","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"_id":"21543","file_date_updated":"2021-03-18T17:12:56Z","related_material":{"link":[{"url":"https://github.com/ RealVNF/distributed-drl-coordination","relation":"software"}]},"has_accepted_license":"1","citation":{"mla":"Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, IEEE, 2021.","short":"S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.","bibtex":"@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }","apa":"Schneider, S. B., Qarawlus, H., &#38; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. Washington, DC, USA: IEEE.","chicago":"Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE, 2021.","ieee":"S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, Washington, DC, USA, 2021.","ama":"Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE; 2021."},"author":[{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","id":"35343","last_name":"Schneider","orcid":"0000-0001-8210-4011"},{"first_name":"Haydar","last_name":"Qarawlus","full_name":"Qarawlus, Haydar"},{"last_name":"Karl","full_name":"Karl, Holger","id":"126","first_name":"Holger"}],"oa":"1","date_updated":"2022-01-06T06:55:04Z","conference":{"name":"IEEE International Conference on Distributed Computing Systems (ICDCS)","location":"Washington, DC, USA"},"publication":"IEEE International Conference on Distributed Computing Systems (ICDCS)","file":[{"file_size":606321,"title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","file_name":"public_author_version.pdf","file_id":"21544","access_level":"open_access","date_updated":"2021-03-18T17:12:56Z","date_created":"2021-03-18T17:12:56Z","creator":"stschn","relation":"main_file","content_type":"application/pdf"}],"abstract":[{"text":"Services often consist of multiple chained components such as microservices in a service mesh, or machine learning functions in a pipeline. Providing these services requires online coordination including scaling the service, placing instance of all components in the network, scheduling traffic to these instances, and routing traffic through the network. Optimized service coordination is still a hard problem due to many influencing factors such as rapidly arriving user demands and limited node and link capacity. Existing approaches to solve the problem are often built on rigid models and assumptions, tailored to specific scenarios. If the scenario changes and the assumptions no longer hold, they easily break and require manual adjustments by experts. Novel self-learning approaches using deep reinforcement learning (DRL) are promising but still have limitations as they only address simplified versions of the problem and are typically centralized and thus do not scale to practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed self-learning service coordination approach using DRL. After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other nodes. Each agent only observes its direct neighbors and does not need global knowledge. Hence, our approach scales independently from the size of the network. In our extensive evaluation using real-world network topologies and traffic traces, we show that our proposed approach outperforms a state-of-the-art conventional heuristic as well as a centralized DRL approach (60% higher throughput on average) while requiring less time per online decision (1 ms).","lang":"eng"}],"language":[{"iso":"eng"}],"ddc":["000"],"keyword":["network management","service management","coordination","reinforcement learning","distributed"],"year":"2021","date_created":"2021-03-18T17:15:47Z","publisher":"IEEE","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning"},{"status":"public","type":"misc","language":[{"iso":"eng"}],"department":[{"_id":"49"}],"user_id":"11829","_id":"21564","project":[{"name":"Vollständige Bestimmung der akustischen Materialparameter von Polymeren","_id":"89","grant_number":"409779252"}],"citation":{"ama":"Itner D, Gravenkamp H, Dreiling D, Feldmann N, Henning B. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel; 2021.","chicago":"Itner, Dominik, Hauke Gravenkamp, Dmitrij Dreiling, Nadine Feldmann, and Bernd Henning. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel, 2021.","ieee":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, and B. Henning, <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel, 2021.","short":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, B. Henning, On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers , GAMM Annual Meeting, Kassel, 2021.","bibtex":"@book{Itner_Gravenkamp_Dreiling_Feldmann_Henning_2021, place={GAMM Annual Meeting, Kassel}, title={On the forward simulation and cost functions for the ultrasonic material characterization of polymers }, author={Itner, Dominik and Gravenkamp, Hauke and Dreiling, Dmitrij and Feldmann, Nadine and Henning, Bernd}, year={2021} }","mla":"Itner, Dominik, et al. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. 2021.","apa":"Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., &#38; Henning, B. (2021). <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel."},"place":"GAMM Annual Meeting, Kassel","year":"2021","title":"On the forward simulation and cost functions for the ultrasonic material characterization of polymers ","author":[{"full_name":"Itner, Dominik","last_name":"Itner","first_name":"Dominik"},{"first_name":"Hauke","last_name":"Gravenkamp","full_name":"Gravenkamp, Hauke"},{"first_name":"Dmitrij","id":"32616","full_name":"Dreiling, Dmitrij","last_name":"Dreiling"},{"first_name":"Nadine","id":"23082","full_name":"Feldmann, Nadine","last_name":"Feldmann"},{"first_name":"Bernd","last_name":"Henning","id":"213","full_name":"Henning, Bernd"}],"date_created":"2021-03-24T13:37:38Z","date_updated":"2022-01-06T06:55:06Z"},{"publication_identifier":{"unknown":["1610-5753"]},"year":"2021","citation":{"chicago":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1. WI-MAW-Rundbrief. Gesellschaft für Informatik, 2021.","ieee":"S. Gottschalk and E. Yigitbas, <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>, vol. 1. Gesellschaft für Informatik, 2021.","ama":"Gottschalk S, Yigitbas E. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol 1. Gesellschaft für Informatik; 2021.","bibtex":"@book{Gottschalk_Yigitbas_2021, series={WI-MAW-Rundbrief}, title={Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung}, volume={1}, publisher={Gesellschaft für Informatik}, author={Gottschalk, Sebastian and Yigitbas, Enes}, year={2021}, collection={WI-MAW-Rundbrief} }","short":"S. Gottschalk, E. Yigitbas, Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung, Gesellschaft für Informatik, 2021.","mla":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1, Gesellschaft für Informatik, 2021.","apa":"Gottschalk, S., &#38; Yigitbas, E. (2021). <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i> (Vol. 1). Gesellschaft für Informatik."},"intvolume":"         1","date_updated":"2022-01-06T06:55:06Z","publisher":"Gesellschaft für Informatik","oa":"1","author":[{"full_name":"Gottschalk, Sebastian","id":"47208","last_name":"Gottschalk","first_name":"Sebastian"},{"first_name":"Enes","full_name":"Yigitbas, Enes","id":"8447","last_name":"Yigitbas","orcid":"0000-0002-5967-833X"}],"date_created":"2021-03-25T10:02:18Z","volume":1,"title":"Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung","main_file_link":[{"url":"https://fa-wi-maw.gi.de/fileadmin/FA/WI-MAW/Rundbriefe/3037624_GI_45_Rundbrief_JG27.pdf","open_access":"1"}],"type":"report","abstract":[{"lang":"eng","text":"Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden, wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung (GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen. Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen unterstützt."}],"status":"public","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"_id":"21569","series_title":"WI-MAW-Rundbrief","user_id":"47208","department":[{"_id":"66"},{"_id":"534"}],"language":[{"iso":"ger"}]},{"user_id":"5786","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"21570","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","status":"public","date_created":"2021-03-26T09:14:19Z","author":[{"first_name":"Tanja","last_name":"Tornede","full_name":"Tornede, Tanja","id":"40795"},{"first_name":"Alexander","id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","full_name":"Wever, Marcel Dominik","id":"33176"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"date_updated":"2022-01-06T06:55:06Z","conference":{"end_date":"2021-07-14","name":"Genetic and Evolutionary Computation Conference","start_date":"2021-07-10"},"title":"Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance","citation":{"mla":"Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021.","short":"T. Tornede, A. Tornede, M.D. Wever, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021.","bibtex":"@inproceedings{Tornede_Tornede_Wever_Hüllermeier_2021, title={Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021} }","apa":"Tornede, T., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. Genetic and Evolutionary Computation Conference.","ieee":"T. Tornede, A. Tornede, M. D. Wever, and E. Hüllermeier, “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance,” presented at the Genetic and Evolutionary Computation Conference, 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021.","ama":"Tornede T, Tornede A, Wever MD, Hüllermeier E. Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. ; 2021."},"year":"2021"},{"citation":{"ieee":"J. Heine, C. Wecker, E. Kenig, and H.-J. Bart, “Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen,” 2021.","chicago":"Heine, Jens, Christian Wecker, Eugeny Kenig, and Hans-Jörg Bart. “Stofftransportmessung Und -Visualisierung Am Ruhenden Und Bewegten Einzeltropfen.” Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion, 2021.","ama":"Heine J, Wecker C, Kenig E, Bart H-J. Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen. In: Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion; 2021.","bibtex":"@inproceedings{Heine_Wecker_Kenig_Bart_2021, place={Online}, title={Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen}, publisher={Jahrestreffen der ProcessNet-Fachgruppe Extraktion}, author={Heine, Jens and Wecker, Christian and Kenig, Eugeny and Bart, Hans-Jörg}, year={2021} }","short":"J. Heine, C. Wecker, E. Kenig, H.-J. Bart, in: Jahrestreffen der ProcessNet-Fachgruppe Extraktion, Online, 2021.","mla":"Heine, Jens, et al. <i>Stofftransportmessung Und -Visualisierung Am Ruhenden Und Bewegten Einzeltropfen</i>. Jahrestreffen der ProcessNet-Fachgruppe Extraktion, 2021.","apa":"Heine, J., Wecker, C., Kenig, E., &#38; Bart, H.-J. (2021). Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen. Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion."},"year":"2021","place":"Online","title":"Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen","author":[{"full_name":"Heine, Jens","last_name":"Heine","first_name":"Jens"},{"id":"29891","full_name":"Wecker, Christian","last_name":"Wecker","first_name":"Christian"},{"first_name":"Eugeny","id":"665","full_name":"Kenig, Eugeny","last_name":"Kenig"},{"full_name":"Bart, Hans-Jörg","last_name":"Bart","first_name":"Hans-Jörg"}],"date_created":"2021-03-30T11:33:21Z","publisher":"Jahrestreffen der ProcessNet-Fachgruppe Extraktion","date_updated":"2022-01-06T06:55:06Z","status":"public","type":"conference_abstract","language":[{"iso":"eng"}],"user_id":"29891","department":[{"_id":"9"},{"_id":"145"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"21573"},{"_id":"21574","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"department":[{"_id":"9"},{"_id":"145"}],"user_id":"29891","language":[{"iso":"eng"}],"type":"conference_abstract","status":"public","date_updated":"2022-01-06T06:55:06Z","publisher":"Jahrestreffen der ProcessNet-Fachgruppe Extraktion","date_created":"2021-03-30T11:35:22Z","author":[{"first_name":"Christian","full_name":"Wecker, Christian","id":"29891","last_name":"Wecker"},{"first_name":"Andreas","last_name":"Schulz","id":"63109","full_name":"Schulz, Andreas"},{"full_name":"Heine, Jens","last_name":"Heine","first_name":"Jens"},{"full_name":"Bart, Hans-Jörg","last_name":"Bart","first_name":"Hans-Jörg"},{"first_name":"Eugeny","last_name":"Kenig","id":"665","full_name":"Kenig, Eugeny"}],"title":"Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion","year":"2021","place":"Online","citation":{"ama":"Wecker C, Schulz A, Heine J, Bart H-J, Kenig E. Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion. In: Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion; 2021.","ieee":"C. Wecker, A. Schulz, J. Heine, H.-J. Bart, and E. Kenig, “Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion,” 2021.","chicago":"Wecker, Christian, Andreas Schulz, Jens Heine, Hans-Jörg Bart, and Eugeny Kenig. “Numerische Untersuchung Der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von Der Tropfenbildung Bis Zur Tropfeninteraktion.” Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion, 2021.","bibtex":"@inproceedings{Wecker_Schulz_Heine_Bart_Kenig_2021, place={Online}, title={Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion}, publisher={Jahrestreffen der ProcessNet-Fachgruppe Extraktion}, author={Wecker, Christian and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}, year={2021} }","short":"C. Wecker, A. Schulz, J. Heine, H.-J. Bart, E. Kenig, in: Jahrestreffen der ProcessNet-Fachgruppe Extraktion, Online, 2021.","mla":"Wecker, Christian, et al. <i>Numerische Untersuchung Der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von Der Tropfenbildung Bis Zur Tropfeninteraktion</i>. Jahrestreffen der ProcessNet-Fachgruppe Extraktion, 2021.","apa":"Wecker, C., Schulz, A., Heine, J., Bart, H.-J., &#38; Kenig, E. (2021). Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion. Online: Jahrestreffen der ProcessNet-Fachgruppe Extraktion."}},{"year":"2021","place":"Online","citation":{"ieee":"C. Wecker, A. Hoppe, A. Schulz, J. Heine, H.-J. Bart, and E. 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Online: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport.","bibtex":"@inproceedings{Wecker_Hoppe_Schulz_Heine_Bart_Kenig_2021, place={Online}, title={Numerische Untersuchungen zu Fluiddynamik und Stofftransport binärer Tropfeninteraktion unter Berücksichtigung von Marangonikonvektion}, publisher={Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport}, author={Wecker, Christian and Hoppe, Anna and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}, year={2021} }","short":"C. Wecker, A. Hoppe, A. Schulz, J. Heine, H.-J. Bart, E. Kenig, in: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, Online, 2021.","mla":"Wecker, Christian, et al. <i>Numerische Untersuchungen Zu Fluiddynamik Und Stofftransport Binärer Tropfeninteraktion Unter Berücksichtigung von Marangonikonvektion</i>. 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