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Camera networks dimensioning and scheduling with quasi worst-case transmission time

Edpalm, Viktor; Martins, Alexandre LU ; Årzén, Karl Erik LU and Maggio, Martina LU (2018) 30th Euromicro Conference on Real-Time Systems, ECRTS 2018 In 30th Euromicro Conference on Real-Time Systems, ECRTS 2018 106.
Abstract

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.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Bandwidth estimation, Camera network, H.264, Multiframe model, Network access scheduling, Video compression, Worst-case transmission time
in
30th Euromicro Conference on Real-Time Systems, ECRTS 2018
volume
106
publisher
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
conference name
30th Euromicro Conference on Real-Time Systems, ECRTS 2018
external identifiers
  • scopus:85049338068
ISBN
9783959770750
DOI
10.4230/LIPIcs.ECRTS.2018.17
language
English
LU publication?
yes
id
9bc4d96e-c63a-46a0-bc42-cdd0485a5423
date added to LUP
2018-07-16 11:30:01
date last changed
2018-07-16 11:30:01
@inproceedings{9bc4d96e-c63a-46a0-bc42-cdd0485a5423,
  abstract     = {<p>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.</p>},
  author       = {Edpalm, Viktor and Martins, Alexandre and Årzén, Karl Erik and Maggio, Martina},
  booktitle    = {30th Euromicro Conference on Real-Time Systems, ECRTS 2018},
  isbn         = {9783959770750},
  keyword      = {Bandwidth estimation,Camera network,H.264,Multiframe model,Network access scheduling,Video compression,Worst-case transmission time},
  language     = {eng},
  month        = {06},
  publisher    = {Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing},
  title        = {Camera networks dimensioning and scheduling with quasi worst-case transmission time},
  url          = {http://dx.doi.org/10.4230/LIPIcs.ECRTS.2018.17},
  volume       = {106},
  year         = {2018},
}