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

Viktor Edpalm; Alexandre Martins; Karl-Erik Årzén; Martina Maggio

doi:10.4230/LIPIcs.ECRTS.2018.17

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

Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, Martina Maggio

Axis communications AB

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	30th Euromicro Conference on Real-Time Systems, ECRTS 2018
Förlag	Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Volym	106
ISBN (elektroniskt)	9783959770750
DOI	https://doi.org/10.4230/LIPIcs.ECRTS.2018.17
Status	Published - 2018 juni 1
Evenemang	30th Euromicro Conference on Real-Time Systems, ECRTS 2018 - Barcelona, Spanien Varaktighet: 2018 juni 3 → 2018 juni 6

Konferens

Konferens	30th Euromicro Conference on Real-Time Systems, ECRTS 2018
Land/Territorium	Spanien
Ort	Barcelona
Period	2018/06/03 → 2018/06/06

Ämnesklassifikation (UKÄ)

Kommunikationssystem

Tillgång till dokument

10.4230/LIPIcs.ECRTS.2018.17

Andra filer och länkar

Link to publication in Scopus

Autonomous camera systems in resource constrained environments
Martins, A. (Forskarstuderande), Årzén, K.-E. (Handledare), Maggio, M. (Biträdande handledare) & Lindberg, M. (Biträdande handledare)
2018/01/01 → 2023/12/30
Projekt: Avhandling

Citera det här

@inproceedings{9bc4d96ec63a46a0bc42cdd0485a5423,

title = "Camera networks dimensioning and scheduling with quasi worst-case transmission time",

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.",

keywords = "Bandwidth estimation, Camera network, H.264, Multiframe model, Network access scheduling, Video compression, Worst-case transmission time",

author = "Viktor Edpalm and Alexandre Martins and Karl-Erik {\AA}rz{\'e}n and Martina Maggio",

year = "2018",

month = jun,

day = "1",

doi = "10.4230/LIPIcs.ECRTS.2018.17",

language = "English",

volume = "106",

booktitle = "30th Euromicro Conference on Real-Time Systems, ECRTS 2018",

publisher = "Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik",

note = "30th Euromicro Conference on Real-Time Systems, ECRTS 2018 ; Conference date: 03-06-2018 Through 06-06-2018",

}

Edpalm, V, Martins, A, Årzén, K-E & Maggio, M 2018, Camera networks dimensioning and scheduling with quasi worst-case transmission time. i 30th Euromicro Conference on Real-Time Systems, ECRTS 2018. vol. 106, 17, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 30th Euromicro Conference on Real-Time Systems, ECRTS 2018, Barcelona, Spanien, 2018/06/03. https://doi.org/10.4230/LIPIcs.ECRTS.2018.17

Camera networks dimensioning and scheduling with quasi worst-case transmission time. / Edpalm, Viktor; Martins, Alexandre; Årzén, Karl-Erik et al.
30th Euromicro Conference on Real-Time Systems, ECRTS 2018. Vol. 106 Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. 17.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Camera networks dimensioning and scheduling with quasi worst-case transmission time

AU - Edpalm, Viktor

AU - Martins, Alexandre

AU - Årzén, Karl-Erik

AU - Maggio, Martina

PY - 2018/6/1

Y1 - 2018/6/1

N2 - 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.

AB - 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.

KW - Bandwidth estimation

KW - Camera network

KW - H.264

KW - Multiframe model

KW - Network access scheduling

KW - Video compression

KW - Worst-case transmission time

UR - http://www.scopus.com/inward/record.url?scp=85049338068&partnerID=8YFLogxK

U2 - 10.4230/LIPIcs.ECRTS.2018.17

DO - 10.4230/LIPIcs.ECRTS.2018.17

M3 - Paper in conference proceeding

AN - SCOPUS:85049338068

VL - 106

BT - 30th Euromicro Conference on Real-Time Systems, ECRTS 2018

PB - Schloss Dagstuhl - Leibniz-Zentrum für Informatik

T2 - 30th Euromicro Conference on Real-Time Systems, ECRTS 2018

Y2 - 3 June 2018 through 6 June 2018

ER -

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

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Andra filer och länkar

Fingeravtryck

Projekt

Autonomous camera systems in resource constrained environments

Citera det här