Proceedings of the 2020 OMI Seminars (PROMIS 2020)
Loading...
Date
2021-08-05
Authors
Journal Title
Journal ISSN
Volume Title
Publication Type
Published in
Abstract
OMI is the acronym of the German name for the Institute of Information Resource Management located at Ulm University, Germany. Residing at the border between electrical engineering and computer science, we offer lectures spanning topics such as Computer Networks, Cloud Computing, and Parallel Computing. Our labs range from hands-on work using micro-controllers to programming challenges in operating system, High Performance Computing and Software-defined systems. We offer three seminars for our students: Selected Topics in Data Center Automation directed at Bachelor students from the computer science domain, Research Trends in Data Center Automation directed at Master students from the computer science domain, and Research Trends in the Internet of Things directed at Master students from the engineering majors. The seminars addresses topics interesting for system architects, reliability engineers, and DevOps engineers, but also data scientists mainly targeting automation, application and data management, as well as system modelling. Seminars proceed as follows: At the beginning of the course each student picks a topic and works on it. The tasks include researching the topic from a scientific angle (using scientific digital libraries), filtering and structuring content, and compiling a paper from it. Finally, the results of the work are presented in a talk. While the work is self-responsible, each student is assisted by an advisor who is an expert in the respective domain. The best papers of each year are selected to be published in this proceedings. Students may reject the publication of their work. In 2020 all three seminars took place twice, once in summer term (April - July) and once in winter term (November 2020 -February 2021). Due to the Covid pandemic they were organized as purely virtual events. Overall, 50 students participated in the courses, out of which 34 (68%) completed the course. Further, 16 (32%) were invited to publish their work in this proceedings and 12 accepted the invitation. The 2020 proceedings are structured in four parts: application management, system modelling, Internet of Things (IoT), and Machine Learning.
Description
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Citation
DFG Project uulm
EU Project uulm
Other projects uulm
License
CC BY 4.0 International
Is version of
Has version
Supplement to
Supplemented by
Has erratum
Erratum to
Has Part
Baur, Andreas (2021): Packaging of kubernetes applications. http://dx.doi.org/10.18725/OPARU-38549
Rothmund, Kilian (2021): Immutable Linux distributionen mit LinuxKit. http://dx.doi.org/10.18725/OPARU-38583
Herman, Artur (2021): Distributed shared memory frameworks: Comparison of implementations. http://dx.doi.org/10.18725/OPARU-38584
Scheible, Jens (2021): LoRa and LoRaWAN - An evaluation of scalability and reliability. http://dx.doi.org/10.18725/OPARU-38585
Huynh, Misam (2021): Finding noisy neighbours and quantifying performance impact. http://dx.doi.org/10.18725/OPARU-38586
Evangelista, Cristina (2021): Performance modelling of NoSQL DBMS. http://dx.doi.org/10.18725/OPARU-38587
Müller, Kilian (2021): An assessment of the benefit of Covid-19 movement datasets for edge computing. http://dx.doi.org/10.18725/OPARU-38588
Edlhuber, Jonas (2021): IoT and 5G communication. http://dx.doi.org/10.18725/OPARU-38589
Kammerer, Annalena (2021): Information-centric networks in the IoT. http://dx.doi.org/10.18725/OPARU-38590
Ulrich, Julian (2021): IoT live updating. http://dx.doi.org/10.18725/OPARU-38591
Schauz, Philipp (2021): Sensor modalities connections in smart environments. http://dx.doi.org/10.18725/OPARU-38592
Lochner, Arne (2021): Modifications for synthetic data generation using generative adversarial networks. http://dx.doi.org/10.18725/OPARU-38593
Kirikkayis, Yusuf (2021): The autoML jungle - An overview. http://dx.doi.org/10.18725/OPARU-38594
Schiessle, Pascal (2021): Datalog - An overview and outlook on a decade-old technology. http://dx.doi.org/10.18725/OPARU-38595
Rothmund, Kilian (2021): Immutable Linux distributionen mit LinuxKit. http://dx.doi.org/10.18725/OPARU-38583
Herman, Artur (2021): Distributed shared memory frameworks: Comparison of implementations. http://dx.doi.org/10.18725/OPARU-38584
Scheible, Jens (2021): LoRa and LoRaWAN - An evaluation of scalability and reliability. http://dx.doi.org/10.18725/OPARU-38585
Huynh, Misam (2021): Finding noisy neighbours and quantifying performance impact. http://dx.doi.org/10.18725/OPARU-38586
Evangelista, Cristina (2021): Performance modelling of NoSQL DBMS. http://dx.doi.org/10.18725/OPARU-38587
Müller, Kilian (2021): An assessment of the benefit of Covid-19 movement datasets for edge computing. http://dx.doi.org/10.18725/OPARU-38588
Edlhuber, Jonas (2021): IoT and 5G communication. http://dx.doi.org/10.18725/OPARU-38589
Kammerer, Annalena (2021): Information-centric networks in the IoT. http://dx.doi.org/10.18725/OPARU-38590
Ulrich, Julian (2021): IoT live updating. http://dx.doi.org/10.18725/OPARU-38591
Schauz, Philipp (2021): Sensor modalities connections in smart environments. http://dx.doi.org/10.18725/OPARU-38592
Lochner, Arne (2021): Modifications for synthetic data generation using generative adversarial networks. http://dx.doi.org/10.18725/OPARU-38593
Kirikkayis, Yusuf (2021): The autoML jungle - An overview. http://dx.doi.org/10.18725/OPARU-38594
Schiessle, Pascal (2021): Datalog - An overview and outlook on a decade-old technology. http://dx.doi.org/10.18725/OPARU-38595
