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EditorDomaschka, Jörgdc.contributor.editor
Date of accession2021-08-05T12:59:46Zdc.date.accessioned
Available in OPARU since2021-08-05T12:59:46Zdc.date.available
Date of first publication2021-08-05dc.date.issued
ISSN2748-0003dc.identifier.issn
AbstractOMI 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.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Has partBaur, Andreas (2021): Packaging of kubernetes applications. http://dx.doi.org/10.18725/OPARU-38549dc.relation.haspart
Has partRothmund, Kilian (2021): Immutable Linux distributionen mit LinuxKit. http://dx.doi.org/10.18725/OPARU-38583dc.relation.haspart
Has partHerman, Artur (2021): Distributed shared memory frameworks: Comparison of implementations. http://dx.doi.org/10.18725/OPARU-38584dc.relation.haspart
Has partScheible, Jens (2021): LoRa and LoRaWAN - An evaluation of scalability and reliability. http://dx.doi.org/10.18725/OPARU-38585dc.relation.haspart
Has partHuynh, Misam (2021): Finding noisy neighbours and quantifying performance impact. http://dx.doi.org/10.18725/OPARU-38586dc.relation.haspart
Has partEvangelista, Cristina (2021): Performance modelling of NoSQL DBMS. http://dx.doi.org/10.18725/OPARU-38587dc.relation.haspart
Has partMüller, Kilian (2021): An assessment of the benefit of Covid-19 movement datasets for edge computing. http://dx.doi.org/10.18725/OPARU-38588dc.relation.haspart
Has partEdlhuber, Jonas (2021): IoT and 5G communication. http://dx.doi.org/10.18725/OPARU-38589dc.relation.haspart
Has partKammerer, Annalena (2021): Information-centric networks in the IoT. http://dx.doi.org/10.18725/OPARU-38590dc.relation.haspart
Has partUlrich, Julian (2021): IoT live updating. http://dx.doi.org/10.18725/OPARU-38591dc.relation.haspart
Has partSchauz, Philipp (2021): Sensor modalities connections in smart environments. http://dx.doi.org/10.18725/OPARU-38592dc.relation.haspart
Has partLochner, Arne (2021): Modifications for synthetic data generation using generative adversarial networks. http://dx.doi.org/10.18725/OPARU-38593dc.relation.haspart
Has partKirikkayis, Yusuf (2021): The autoML jungle - An overview. http://dx.doi.org/10.18725/OPARU-38594dc.relation.haspart
Has partSchiessle, Pascal (2021): Datalog - An overview and outlook on a decade-old technology. http://dx.doi.org/10.18725/OPARU-38595dc.relation.haspart
LicenseCC BY 4.0 Internationaldc.rights
Link to license texthttps://creativecommons.org/licenses/by/4.0/dc.rights.uri
KeywordSystem Modellingdc.subject
KeywordApplication Managementdc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHInternet of thingsdc.subject.lcsh
LCSHMachine learningdc.subject.lcsh
LCSHSystem analysisdc.subject.lcsh
LCSHOperating systems (Computers)dc.subject.lcsh
LCSHApplication softwaredc.subject.lcsh
TitleProceedings of the 2020 OMI Seminars (PROMIS 2020)dc.title
Resource typeBuchdc.type
VersionupdatedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-38460dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-38536-9dc.identifier.urn
GNDInternet der Dingedc.subject.gnd
GNDMaschinelles Lernendc.subject.gnd
GNDSystementwurfdc.subject.gnd
GNDSoftwarelebenszyklusdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Organisation und Management von Informationssystemenuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
uulm seriesToday I learnt: doing research - TIL:DRuulm.seriesUlmName
uulm series - number1uulm.seriesUlmNumber
uulm series - editorDomaschka, Jörguulm.seriesUlmEditorA
uulm series - editorUniversität Ulm / Institut für Organisation und Management von Informationssystemenuulm.seriesUlmEditorB
Place of publicationUlm, Germanyuulm.publisherPlace
Bibliographyuulmuulm.bibliographie


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