Control-Based Resource Management for Storage of Video Streams

Alexandre Martins; Mikael Lindberg; Martina Maggio; Karl-Erik Årzén

doi:10.1016/j.ifacol.2020.12.1564

Control-Based Resource Management for Storage of Video Streams

Alexandre Martins, Mikael Lindberg, Martina Maggio, Karl-Erik Årzén

Axis communications AB

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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Sammanfattning

Distributed surveillance systems typically consist of multiple cameras that need to store some fraction of their video streams at a central storage node. The disk space of this node constitutes a shared resource. In the paper the disk space allocation is formulated as a PI control problem and a new method for enforcing global resource constraints inspired by anti-windup tracking is proposed. The approach is evaluated by simulations.

Originalspråk	engelska
Sidor (från-till)	5542-5549
Antal sidor	8
Tidskrift	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volym	53
Nummer	2
DOI	https://doi.org/10.1016/j.ifacol.2020.12.1564
Status	Published - 2020
Evenemang	IFAC World Congress 2020 - Germany Varaktighet: 2020 juli 11 → 2020 juli 17 https://www.ifac2020.org/

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10.1016/j.ifacol.2020.12.1564

Control-Based Resource Management for Storage of Video StreamsPublicerad version, 1,83 MB

1 Avslutade
1 Aktiva

WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
Årzén, K.-E. (Forskare)
2015/10/01 → 2029/12/31
Projekt: Forskning
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

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title = "Control-Based Resource Management for Storage of Video Streams",

abstract = "Distributed surveillance systems typically consist of multiple cameras that need to store some fraction of their video streams at a central storage node. The disk space of this node constitutes a shared resource. In the paper the disk space allocation is formulated as a PI control problem and a new method for enforcing global resource constraints inspired by anti-windup tracking is proposed. The approach is evaluated by simulations.",

keywords = "Cameras, Computer control, Constraints, PID control, Memory applications",

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

year = "2020",

doi = "10.1016/j.ifacol.2020.12.1564",

language = "English",

volume = "53",

pages = "5542--5549",

journal = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

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note = "IFAC World Congress 2020 ; Conference date: 11-07-2020 Through 17-07-2020",

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AU - Martins, Alexandre

AU - Lindberg, Mikael

AU - Maggio, Martina

AU - Årzén, Karl-Erik

PY - 2020

Y1 - 2020

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AB - Distributed surveillance systems typically consist of multiple cameras that need to store some fraction of their video streams at a central storage node. The disk space of this node constitutes a shared resource. In the paper the disk space allocation is formulated as a PI control problem and a new method for enforcing global resource constraints inspired by anti-windup tracking is proposed. The approach is evaluated by simulations.

KW - Cameras, Computer control, Constraints, PID control, Memory applications

U2 - 10.1016/j.ifacol.2020.12.1564

DO - 10.1016/j.ifacol.2020.12.1564

M3 - Article

SN - 2405-8963

VL - 53

SP - 5542

EP - 5549

JO - IFAC Proceedings Volumes (IFAC-PapersOnline)

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ER -

Control-Based Resource Management for Storage of Video Streams

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Ämnesklassifikation (UKÄ)

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Projekt

WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University

Autonomous camera systems in resource constrained environments

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