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
Boano, C. A., Kubin, G., Bloem, R., Horn, M., Pernkopf, F., Zakany, N., Mangard, S., Witrisal, K., Römer, K. U., Aichernig, B., Bösch, W., Baunach, M. C., Tappler, M., Malenko, M., Weiser, S., Eichlseder, M., Leitinger, E., Grosinger, J., Großwindhager, B., Ebrahimi, M., Alothman Alterkawi, A. B., Knoll, C., Teschl, R., Saukh, O., Rath, M., Steinberger, M., Steinbauer-Wagner, G. & Tranninger, M.
1/01/16 → 31/03/22
Project: Research project

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

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Fields of Expertise

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

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