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(2020). Efficient Forward-Secure Threshold Signatures. In K. Aoki & A. Kanaoka (Eds.), Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings (Vol. 12231, pp. 239–260). Springer. https://doi.org/10.1007/978-3-030-58208-1\\_14","ama":"Kurek R. Efficient Forward-Secure Threshold Signatures. In: Aoki K, Kanaoka A, eds. Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings. Vol 12231. Lecture Notes in Computer Science. Springer; 2020:239-260. doi:10.1007/978-3-030-58208-1\\_14","chicago":"Kurek, Rafael. “Efficient Forward-Secure Threshold Signatures.” In Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings, edited by Kazumaro Aoki and Akira Kanaoka, 12231:239–60. Lecture Notes in Computer Science. Springer, 2020. https://doi.org/10.1007/978-3-030-58208-1\\_14.","ieee":"R. Kurek, “Efficient Forward-Secure Threshold Signatures,” in Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings, 2020, vol. 12231, pp. 239–260.","short":"R. Kurek, in: K. Aoki, A. Kanaoka (Eds.), Advances in Information and Computer Security - 15th International Workshop on Security, {IWSEC} 2020, Fukui, Japan, September 2-4, 2020, Proceedings, Springer, 2020, pp. 239–260."},"year":"2020"},{"title":"Minimizing crane times in pre-marshalling problems","user_id":"61189","publication":"Transportation Research Part E: Logistics and Transportation Review","keyword":["pc2-ressources"],"author":[{"full_name":"Parreño-Torres, Consuelo","first_name":"Consuelo","last_name":"Parreño-Torres"},{"full_name":"Alvarez-Valdes, Ramon","first_name":"Ramon","last_name":"Alvarez-Valdes"},{"full_name":"Ruiz, Rubén","first_name":"Rubén","last_name":"Ruiz"},{"full_name":"Tierney, Kevin","first_name":"Kevin","last_name":"Tierney"}],"publication_status":"published","publication_identifier":{"issn":["1366-5545"]},"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2020-09-18T07:52:23Z","status":"public","date_updated":"2022-01-06T06:54:07Z","_id":"19560","doi":"10.1016/j.tre.2020.101917","article_number":"101917","citation":{"short":"C. Parreño-Torres, R. Alvarez-Valdes, R. Ruiz, K. Tierney, Transportation Research Part E: Logistics and Transportation Review (2020).","ieee":"C. Parreño-Torres, R. Alvarez-Valdes, R. Ruiz, and K. Tierney, “Minimizing crane times in pre-marshalling problems,” Transportation Research Part E: Logistics and Transportation Review, 2020.","chicago":"Parreño-Torres, Consuelo, Ramon Alvarez-Valdes, Rubén Ruiz, and Kevin Tierney. “Minimizing Crane Times in Pre-Marshalling Problems.” Transportation Research Part E: Logistics and Transportation Review, 2020. https://doi.org/10.1016/j.tre.2020.101917.","ama":"Parreño-Torres C, Alvarez-Valdes R, Ruiz R, Tierney K. Minimizing crane times in pre-marshalling problems. Transportation Research Part E: Logistics and Transportation Review. 2020. doi:10.1016/j.tre.2020.101917","apa":"Parreño-Torres, C., Alvarez-Valdes, R., Ruiz, R., & Tierney, K. (2020). Minimizing crane times in pre-marshalling problems. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2020.101917","mla":"Parreño-Torres, Consuelo, et al. “Minimizing Crane Times in Pre-Marshalling Problems.” Transportation Research Part E: Logistics and Transportation Review, 101917, 2020, doi:10.1016/j.tre.2020.101917.","bibtex":"@article{Parreño-Torres_Alvarez-Valdes_Ruiz_Tierney_2020, title={Minimizing crane times in pre-marshalling problems}, DOI={10.1016/j.tre.2020.101917}, number={101917}, journal={Transportation Research Part E: Logistics and Transportation Review}, author={Parreño-Torres, Consuelo and Alvarez-Valdes, Ramon and Ruiz, Rubén and Tierney, Kevin}, year={2020} }"},"year":"2020","type":"journal_article","language":[{"iso":"eng"}]},{"place":"Cham","title":"Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types","user_id":"61189","author":[{"last_name":"Sellmann","full_name":"Sellmann, Meinolf","first_name":"Meinolf"},{"last_name":"Tierney","first_name":"Kevin","full_name":"Tierney, Kevin"}],"publication":"Lecture Notes in Computer Science","keyword":["pc2-ressources"],"publication_status":"published","publication_identifier":{"isbn":["9783030535513","9783030535520"],"issn":["0302-9743","1611-3349"]},"status":"public","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"date_created":"2020-09-18T07:54:06Z","date_updated":"2022-01-06T06:54:07Z","_id":"19561","doi":"10.1007/978-3-030-53552-0_12","citation":{"ieee":"M. Sellmann and K. Tierney, “Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types,” in Lecture Notes in Computer Science, Cham, 2020.","short":"M. Sellmann, K. Tierney, in: Lecture Notes in Computer Science, Cham, 2020.","bibtex":"@inbook{Sellmann_Tierney_2020, place={Cham}, title={Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types}, DOI={10.1007/978-3-030-53552-0_12}, booktitle={Lecture Notes in Computer Science}, author={Sellmann, Meinolf and Tierney, Kevin}, year={2020} }","mla":"Sellmann, Meinolf, and Kevin Tierney. “Hyper-Parameterized Dialectic Search for Non-Linear Box-Constrained Optimization with Heterogenous Variable Types.” Lecture Notes in Computer Science, 2020, doi:10.1007/978-3-030-53552-0_12.","chicago":"Sellmann, Meinolf, and Kevin Tierney. “Hyper-Parameterized Dialectic Search for Non-Linear Box-Constrained Optimization with Heterogenous Variable Types.” In Lecture Notes in Computer Science. Cham, 2020. https://doi.org/10.1007/978-3-030-53552-0_12.","apa":"Sellmann, M., & Tierney, K. (2020). Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types. In Lecture Notes in Computer Science. Cham. https://doi.org/10.1007/978-3-030-53552-0_12","ama":"Sellmann M, Tierney K. Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-53552-0_12"},"type":"book_chapter","year":"2020","language":[{"iso":"eng"}]},{"doi":"10.1007/s10732-020-09449-7","_id":"19562","date_updated":"2022-01-06T06:54:07Z","type":"journal_article","year":"2020","citation":{"chicago":"Kuhlemann, Stefan, and Kevin Tierney. “A Genetic Algorithm for Finding Realistic Sea Routes Considering the Weather.” Journal of Heuristics, 2020. https://doi.org/10.1007/s10732-020-09449-7.","ama":"Kuhlemann S, Tierney K. A genetic algorithm for finding realistic sea routes considering the weather. Journal of Heuristics. 2020. doi:10.1007/s10732-020-09449-7","apa":"Kuhlemann, S., & Tierney, K. (2020). A genetic algorithm for finding realistic sea routes considering the weather. Journal of Heuristics. https://doi.org/10.1007/s10732-020-09449-7","bibtex":"@article{Kuhlemann_Tierney_2020, title={A genetic algorithm for finding realistic sea routes considering the weather}, DOI={10.1007/s10732-020-09449-7}, journal={Journal of Heuristics}, author={Kuhlemann, Stefan and Tierney, Kevin}, year={2020} }","mla":"Kuhlemann, Stefan, and Kevin Tierney. “A Genetic Algorithm for Finding Realistic Sea Routes Considering the Weather.” Journal of Heuristics, 2020, doi:10.1007/s10732-020-09449-7.","short":"S. Kuhlemann, K. Tierney, Journal of Heuristics (2020).","ieee":"S. Kuhlemann and K. Tierney, “A genetic algorithm for finding realistic sea routes considering the weather,” Journal of Heuristics, 2020."},"language":[{"iso":"eng"}],"title":"A genetic algorithm for finding realistic sea routes considering the weather","user_id":"61189","publication_status":"published","publication_identifier":{"issn":["1381-1231","1572-9397"]},"status":"public","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"date_created":"2020-09-18T07:56:45Z","author":[{"full_name":"Kuhlemann, Stefan","first_name":"Stefan","last_name":"Kuhlemann"},{"last_name":"Tierney","full_name":"Tierney, Kevin","first_name":"Kevin"}],"keyword":["pc2-ressources"],"publication":"Journal of Heuristics"},{"place":"Berlin","title":"Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004)","user_id":"14932","publisher":"Erich Schmidt","department":[{"_id":"465"}],"editor":[{"last_name":"Eke","id":"104","first_name":"Norbert Otto","full_name":"Eke, Norbert Otto"},{"first_name":"Werner","full_name":"Besch, Werner","last_name":"Besch"},{"full_name":"Geulen, Eva","first_name":"Eva","last_name":"Geulen"},{"full_name":"Klein, Thomas","first_name":"Thomas","last_name":"Klein"},{"full_name":"Oellers, Norbert","first_name":"Norbert","last_name":"Oellers"},{"full_name":"Peters, Ursula","first_name":"Ursula","last_name":"Peters"},{"last_name":"Steinecke","full_name":"Steinecke, Hartmut","first_name":"Hartmut"},{"full_name":"Tervooren, Helmut","first_name":"Helmut","last_name":"Tervooren"}],"status":"public","date_created":"2020-09-18T09:21:01Z","_id":"19568","date_updated":"2022-01-06T06:54:07Z","citation":{"ieee":"N. O. Eke et al., Eds., Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004). Berlin: Erich Schmidt, 2020.","short":"N.O. Eke, W. Besch, E. Geulen, T. Klein, N. Oellers, U. Peters, H. Steinecke, H. Tervooren, eds., Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004), Erich Schmidt, Berlin, 2020.","bibtex":"@book{Eke_Besch_Geulen_Klein_Oellers_Peters_Steinecke_Tervooren_2020, place={Berlin}, title={Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004)}, publisher={Erich Schmidt}, year={2020} }","mla":"Eke, Norbert Otto, et al., editors. Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004). Erich Schmidt, 2020.","ama":"Eke NO, Besch W, Geulen E, et al., eds. Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004). Berlin: Erich Schmidt; 2020.","apa":"Eke, N. O., Besch, W., Geulen, E., Klein, T., Oellers, N., Peters, U., … Tervooren, H. (Eds.). (2020). Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004). Berlin: Erich Schmidt.","chicago":"Eke, Norbert Otto, Werner Besch, Eva Geulen, Thomas Klein, Norbert Oellers, Ursula Peters, Hartmut Steinecke, and Helmut Tervooren, eds. Zeitschrift für deutsche Philologie (Herausgebertätigkeit von Norbert Otto Eke ab Bd. 123, 2004). Berlin: Erich Schmidt, 2020."},"type":"book_editor","year":"2020","language":[{"iso":"ger"}]},{"status":"public","date_created":"2020-09-21T10:01:36Z","author":[{"first_name":"Henrik","full_name":"Bode, Henrik","last_name":"Bode"},{"id":"39640","last_name":"Heid","full_name":"Heid, Stefan Helmut","orcid":"0000-0002-9461-7372","first_name":"Stefan Helmut"},{"first_name":"Daniel","full_name":"Weber, Daniel","last_name":"Weber"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"},{"first_name":"Oliver","full_name":"Wallscheid, Oliver","last_name":"Wallscheid"}],"publication":"arXiv:2005.04869","user_id":"39640","title":"Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control","abstract":[{"text":"Micro- and smart grids (MSG) play an important role both for integrating\r\nrenewable energy sources in conventional electricity grids and for providing\r\npower supply in remote areas. Modern MSGs are largely driven by power\r\nelectronic converters due to their high efficiency and flexibility.\r\nNevertheless, controlling MSGs is a challenging task due to highest\r\nrequirements on energy availability, safety and voltage quality within a wide\r\nrange of different MSG topologies. This results in a high demand for\r\ncomprehensive testing of new control concepts during their development phase\r\nand comparisons with the state of the art in order to ensure their feasibility.\r\nThis applies in particular to data-driven control approaches from the field of\r\nreinforcement learning (RL), whose stability and operating behavior can hardly\r\nbe evaluated a priori. Therefore, the OpenModelica Microgrid Gym (OMG) package,\r\nan open-source software toolbox for the simulation and control optimization of\r\nMSGs, is proposed. It is capable of modeling and simulating arbitrary MSG\r\ntopologies and offers a Python-based interface for plug \\& play controller\r\ntesting. In particular, the standardized OpenAI Gym interface allows for easy\r\nRL-based controller integration. Besides the presentation of the OMG toolbox,\r\napplication examples are highlighted including safe Bayesian optimization for\r\nlow-level controller tuning.","lang":"eng"}],"language":[{"iso":"eng"}],"citation":{"chicago":"Bode, Henrik, Stefan Helmut Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.","apa":"Bode, H., Heid, S. H., Weber, D., Hüllermeier, E., & Wallscheid, O. (2020). Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. ArXiv:2005.04869.","ama":"Bode H, Heid SH, Weber D, Hüllermeier E, Wallscheid O. Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. arXiv:200504869. 2020.","bibtex":"@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control}, journal={arXiv:2005.04869}, author={Bode, Henrik and Heid, Stefan Helmut and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2020} }","mla":"Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” ArXiv:2005.04869, 2020.","short":"H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).","ieee":"H. Bode, S. H. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control,” arXiv:2005.04869. 2020."},"type":"preprint","year":"2020","main_file_link":[{"url":"https://arxiv.org/pdf/2005.04869.pdf","open_access":"1"}],"oa":"1","_id":"19603","date_updated":"2022-01-06T06:54:07Z"},{"_id":"19606","intvolume":" 12481","conference":{"start_date":"2020-11-30","name":"8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","location":"Eindhoven","end_date":"2020-12-02"},"type":"conference","year":"2020","citation":{"mla":"Gottschalk, Sebastian, et al. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:10.1007/978-3-030-64266-2_14.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={ProConAR: A Tool Support for Model-based AR Product Configuration}, volume={12481}, DOI={10.1007/978-3-030-64266-2_14}, booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors}, year={2020}, collection={Lecture Notes in Computer Science} }","chicago":"Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” In Human-Centered Software Engineering. HCSE 2020, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-64266-2_14.","apa":"Gottschalk, S., Yigitbas, E., Schmidt, E., & Engels, G. (2020). ProConAR: A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito, & S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020 (Vol. 12481). Cham: Springer. https://doi.org/10.1007/978-3-030-64266-2_14","ama":"Gottschalk S, Yigitbas E, Schmidt E, Engels G. ProConAR: A Tool Support for Model-based AR Product Configuration. In: Bernhaupt R, Ardito C, Sauer S, eds. Human-Centered Software Engineering. HCSE 2020. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:10.1007/978-3-030-64266-2_14","ieee":"S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “ProConAR: A Tool Support for Model-based AR Product Configuration,” in Human-Centered Software Engineering. HCSE 2020, Eindhoven, 2020, vol. 12481.","short":"S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020."},"user_id":"47208","ddc":["000"],"abstract":[{"text":"Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions.","lang":"eng"}],"status":"public","has_accepted_license":"1","date_created":"2020-09-21T17:01:11Z","volume":12481,"file":[{"file_name":"HCSE20_demo.pdf","date_created":"2020-11-30T08:39:18Z","access_level":"open_access","file_size":3913885,"file_id":"20542","creator":"sego","date_updated":"2020-11-30T08:39:18Z","content_type":"application/pdf","relation":"main_file"}],"publisher":"Springer","author":[{"last_name":"Gottschalk","id":"47208","first_name":"Sebastian","full_name":"Gottschalk, Sebastian"},{"id":"8447","last_name":"Yigitbas","full_name":"Yigitbas, Enes","orcid":"0000-0002-5967-833X","first_name":"Enes"},{"first_name":"Eugen","full_name":"Schmidt, Eugen","last_name":"Schmidt"},{"id":"107","last_name":"Engels","full_name":"Engels, Gregor","first_name":"Gregor"}],"file_date_updated":"2020-11-30T08:39:18Z","publication":"Human-Centered Software Engineering. HCSE 2020","keyword":["Product Configuration","Augmented Reality","Model-based","Tool Support"],"oa":"1","doi":"10.1007/978-3-030-64266-2_14","date_updated":"2022-01-06T06:54:07Z","language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science","title":"ProConAR: A Tool Support for Model-based AR Product Configuration","place":"Cham","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"editor":[{"full_name":"Bernhaupt, Regina","first_name":"Regina","last_name":"Bernhaupt"},{"full_name":"Ardito, Carmelo","first_name":"Carmelo","last_name":"Ardito"},{"last_name":"Sauer","first_name":"Stefan","full_name":"Sauer, Stefan"}],"department":[{"_id":"66"},{"_id":"534"}]},{"language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:54:08Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"department":[{"_id":"75"}],"title":"Every Node for Itself: Fully Distributed Service Coordination","year":"2020","type":"conference","citation":{"ama":"Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed Service Coordination. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.","apa":"Schneider, S. B., Klenner, L. D., & Karl, H. (2020). Every Node for Itself: Fully Distributed Service Coordination. In IEEE International Conference on Network and Service Management (CNSM). IEEE.","chicago":"Schneider, Stefan Balthasar, Lars Dietrich Klenner, and Holger Karl. “Every Node for Itself: Fully Distributed Service Coordination.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.","mla":"Schneider, Stefan Balthasar, et al. “Every Node for Itself: Fully Distributed Service Coordination.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","bibtex":"@inproceedings{Schneider_Klenner_Karl_2020, title={Every Node for Itself: Fully Distributed Service Coordination}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Klenner, Lars Dietrich and Karl, Holger}, year={2020} }","short":"S.B. Schneider, L.D. Klenner, H. Karl, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","ieee":"S. B. Schneider, L. D. Klenner, and H. Karl, “Every Node for Itself: Fully Distributed Service Coordination,” in IEEE International Conference on Network and Service Management (CNSM), 2020."},"_id":"19607","date_created":"2020-09-22T06:23:40Z","status":"public","has_accepted_license":"1","file_date_updated":"2020-09-22T06:36:25Z","keyword":["distributed management","service coordination","network coordination","nfv","softwarization","orchestration"],"publication":"IEEE International Conference on Network and Service Management (CNSM)","author":[{"id":"35343","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar"},{"first_name":"Lars Dietrich","full_name":"Klenner, Lars Dietrich","last_name":"Klenner"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"publisher":"IEEE","file":[{"access_level":"open_access","file_name":"ris_with_copyright.pdf","date_created":"2020-09-22T06:25:57Z","date_updated":"2020-09-22T06:36:25Z","content_type":"application/pdf","relation":"main_file","file_size":500948,"file_id":"19608","creator":"stschn"}],"ddc":["006"],"user_id":"35343","abstract":[{"text":"Modern services consist of modular, interconnected\r\ncomponents, e.g., microservices forming a service mesh. To\r\ndynamically adjust to ever-changing service demands, service\r\ncomponents have to be instantiated on nodes across the network.\r\nIncoming flows requesting a service then need to be routed\r\nthrough the deployed instances while considering node and link\r\ncapacities. Ultimately, the goal is to maximize the successfully\r\nserved flows and Quality of Service (QoS) through online service\r\ncoordination. Current approaches for service coordination are\r\nusually centralized, assuming up-to-date global knowledge and\r\nmaking global decisions for all nodes in the network. Such global\r\nknowledge and centralized decisions are not realistic in practical\r\nlarge-scale networks.\r\n\r\nTo solve this problem, we propose two algorithms for fully\r\ndistributed service coordination. The proposed algorithms can be\r\nexecuted individually at each node in parallel and require only\r\nvery limited global knowledge. We compare and evaluate both\r\nalgorithms with a state-of-the-art centralized approach in extensive\r\nsimulations on a large-scale, real-world network topology.\r\nOur results indicate that the two algorithms can compete with\r\ncentralized approaches in terms of solution quality but require\r\nless global knowledge and are magnitudes faster (more than\r\n100x).","lang":"eng"}]},{"_id":"19609","year":"2020","type":"conference","citation":{"short":"S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","ieee":"S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020.","ama":"Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.","apa":"Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.","chicago":"Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.","bibtex":"@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }","mla":"Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020."},"abstract":[{"lang":"eng","text":"Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks."}],"ddc":["006"],"user_id":"35343","file_date_updated":"2020-09-22T06:36:00Z","publication":"IEEE International Conference on Network and Service Management (CNSM)","keyword":["self-driving networks","self-learning","network coordination","service coordination","reinforcement learning","deep learning","nfv"],"author":[{"orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"},{"last_name":"Manzoor","first_name":"Adnan","full_name":"Manzoor, Adnan"},{"full_name":"Qarawlus, Haydar","first_name":"Haydar","last_name":"Qarawlus"},{"full_name":"Schellenberg, Rafael","first_name":"Rafael","last_name":"Schellenberg"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"},{"full_name":"Khalili, Ramin","first_name":"Ramin","last_name":"Khalili"},{"last_name":"Hecker","first_name":"Artur","full_name":"Hecker, Artur"}],"publisher":"IEEE","file":[{"relation":"main_file","content_type":"application/pdf","date_updated":"2020-09-22T06:36:00Z","file_id":"19610","creator":"stschn","file_size":642999,"access_level":"open_access","file_name":"ris_with_copyright.pdf","date_created":"2020-09-22T06:29:16Z"}],"date_created":"2020-09-22T06:28:22Z","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T06:54:08Z","oa":"1","language":[{"iso":"eng"}],"title":"Self-Driving Network and Service Coordination Using Deep Reinforcement Learning","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}]},{"title":"Augmented and Virtual Reality Object Repository for Rapid Prototyping ","user_id":"8447","date_created":"2020-09-22T12:44:51Z","status":"public","department":[{"_id":"66"},{"_id":"534"}],"publication":"Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","publisher":"Springer","author":[{"last_name":"Jovanovikj","id":"39187","first_name":"Ivan","orcid":"https://orcid.org/0000-0002-1838-794X","full_name":"Jovanovikj, Ivan"},{"first_name":"Enes","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","last_name":"Yigitbas","id":"8447"},{"id":"447","last_name":"Sauer","full_name":"Sauer, Stefan","first_name":"Stefan"},{"last_name":"Engels","id":"107","first_name":"Gregor","full_name":"Engels, Gregor"}],"_id":"19632","date_updated":"2022-01-06T06:54:09Z","page":"216-224","citation":{"chicago":"Jovanovikj, Ivan, Enes Yigitbas, Stefan Sauer, and Gregor Engels. “Augmented and Virtual Reality Object Repository for Rapid Prototyping .” In Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), 216–24. Springer, 2020.","apa":"Jovanovikj, I., Yigitbas, E., Sauer, S., & Engels, G. (2020). Augmented and Virtual Reality Object Repository for Rapid Prototyping . In Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20) (pp. 216–224). Springer.","ama":"Jovanovikj I, Yigitbas E, Sauer S, Engels G. Augmented and Virtual Reality Object Repository for Rapid Prototyping . In: Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20). Springer; 2020:216-224.","bibtex":"@inproceedings{Jovanovikj_Yigitbas_Sauer_Engels_2020, title={Augmented and Virtual Reality Object Repository for Rapid Prototyping }, booktitle={Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20)}, publisher={Springer}, author={Jovanovikj, Ivan and Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}, year={2020}, pages={216–224} }","mla":"Jovanovikj, Ivan, et al. “Augmented and Virtual Reality Object Repository for Rapid Prototyping .” Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), Springer, 2020, pp. 216–24.","short":"I. Jovanovikj, E. Yigitbas, S. Sauer, G. Engels, in: Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), Springer, 2020, pp. 216–224.","ieee":"I. Jovanovikj, E. Yigitbas, S. Sauer, and G. Engels, “Augmented and Virtual Reality Object Repository for Rapid Prototyping ,” in Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE’20), 2020, pp. 216–224."},"year":"2020","type":"conference","language":[{"iso":"eng"}]}]