This paper describes a method to compute frame size estimates to be used in quasi Worst-Case Transmission Times (qWCTT) for cameras that transmit frames over IP-based communication networks. The precise determination of qWCTT allows us to model the network access scheduling problem as a multiframe problem and to re-use theoretical results for network scheduling. The paper presents a set of experiments, conducted in an industrial testbed, that validate the qWCTT estimation. We believe that a more precise estimation will lead to savings for network infrastructure and to better network utilization.
@InProceedings{edpalm_et_al:LIPIcs.ECRTS.2018.17, author = {Edpalm, Viktor and Martins, Alexandre and \r{A}rz\'{e}n, Karl-Erik and Maggio, Martina}, title = {{Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time}}, booktitle = {30th Euromicro Conference on Real-Time Systems (ECRTS 2018)}, pages = {17:1--17:22}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-075-0}, ISSN = {1868-8969}, year = {2018}, volume = {106}, editor = {Altmeyer, Sebastian}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.17}, URN = {urn:nbn:de:0030-drops-89869}, doi = {10.4230/LIPIcs.ECRTS.2018.17}, annote = {Keywords: worst-case transmission time, H.264, bandwidth estimation, video compression, network access scheduling, multiframe model, camera network} }
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