Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Bernhard Aichernig; Franz Pernkopf; Richard Alexander Schumi; Andreas Wurm

doi:10.1007/978-3-030-31157-5\_7

Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Bernhard Aichernig
, Franz Pernkopf
, Richard Alexander Schumi
, Andreas Wurm

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings
Publisher	Springer
Pages	93-111
DOIs	https://doi.org/10.1007/978-3-030-31157-5\_7
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Computer Science
Volume	11823

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1007/978-3-030-31157-5\_7

Dependable Internet of Things
Pernkopf, F. (Contact person), Zakany, N. (Contact person), Eichlseder, M. (Contact person), Saukh, O. (Contact person), Mangard, S. (Contact person), Steinbauer-Wagner, G. (Contact person), Knoll, C. (Attendee / Assistant), Tranninger, M. (Attendee / Assistant), Römer, K. U. (Consortium manager resp. coordinator of internal research units), Rath, M. (Attendee / Assistant), Kubin, G. (Contact person), Horn, M. (Contact person), Tappler, M. (Attendee / Assistant), Bloem, R. (Consortium manager resp. coordinator of internal research units), Weiser, S. (Attendee / Assistant), Leitinger, E. (Contact person), Ebrahimi, M. (Attendee / Assistant), Aichernig, B. (Contact person), Malenko, M. (Attendee / Assistant), Steinberger, M. (Contact person), Großwindhager, B. (Attendee / Assistant), Baunach, M. C. (Contact person), Witrisal, K. (Contact person), Teschl, R. (Contact person), Boano, C. A. (Contact person), Alothman Alterkawi, A. B. (Attendee / Assistant), Bösch, W. (Contact person) & Grosinger, J. (Contact person)
1/01/16 → 31/03/22
Project: Research project

Predicting and Testing Latencies with Deep Learning: an IoT Case Study
Aichernig, B. (Speaker)
10 Oct 2019
Activity: Talk or presentation › Talk at conference or symposium › Science to science

Cite this

Aichernig, B., Pernkopf, F., Schumi, R. A., & Wurm, A. (2019). Predicting and Testing Latencies with Deep Learning: An IoT Case Study. In Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings (pp. 93-111). (Lecture Notes in Computer Science; Vol. 11823). Springer. https://doi.org/10.1007/978-3-030-31157-5\_7

Predicting and Testing Latencies with Deep Learning: An IoT Case Study. / Aichernig, Bernhard ; Pernkopf, Franz; Schumi, Richard Alexander et al.
Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer, 2019. p. 93-111 (Lecture Notes in Computer Science; Vol. 11823).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Aichernig, B , Pernkopf, F, Schumi, RA & Wurm, A 2019, Predicting and Testing Latencies with Deep Learning: An IoT Case Study. in Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Lecture Notes in Computer Science, vol. 11823, Springer, pp. 93-111. https://doi.org/10.1007/978-3-030-31157-5\_7

Aichernig B , Pernkopf F, Schumi RA, Wurm A. Predicting and Testing Latencies with Deep Learning: An IoT Case Study. In Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer. 2019. p. 93-111. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-31157-5\_7

Aichernig, Bernhard ; Pernkopf, Franz ; Schumi, Richard Alexander et al. / Predicting and Testing Latencies with Deep Learning: An IoT Case Study. Tests and Proofs - 13th International Conference, {TAP} 2019, Held as Part of the Third World Congress on Formal Methods 2019, Porto, Portugal, October 9-11, 2019, Proceedings. Springer, 2019. pp. 93-111 (Lecture Notes in Computer Science).

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Predicting and Testing Latencies with Deep Learning: An IoT Case Study

Publication series

Fields of Expertise

Access to Document

Projects

Dependable Internet of Things

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Predicting and Testing Latencies with Deep Learning: an IoT Case Study

Cite this