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Online QoS Management for Multimedia Real-Time Transmission in Industrial Networks

A growing number of industrial applications incorporate multimedia information processing. These multimedia applications are commonly distributed and subject to time constraints that must be met across networks without creating intolerable interference over typical control flows. However, multimedia...

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Published in:IEEE transactions on industrial electronics (1982) 2011-03, Vol.58 (3), p.1061-1071
Main Authors: Silvestre-Blanes, Javier, Almeida, L, Marau, R, Pedreiras, P
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Language:English
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cited_by cdi_FETCH-LOGICAL-c355t-ba8ec2034a7927a1bd3b390e57d4356526f1a55eaff6f97da706e640ce62c45d3
cites cdi_FETCH-LOGICAL-c355t-ba8ec2034a7927a1bd3b390e57d4356526f1a55eaff6f97da706e640ce62c45d3
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container_title IEEE transactions on industrial electronics (1982)
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creator Silvestre-Blanes, Javier
Almeida, L
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Pedreiras, P
description A growing number of industrial applications incorporate multimedia information processing. These multimedia applications are commonly distributed and subject to time constraints that must be met across networks without creating intolerable interference over typical control flows. However, multimedia traffic, in general, and video streaming, in particular, have specific characteristics that conflict with the operational framework of conventional real-time protocols. In particular, video compressors generate highly variable bit-rate streams that mismatch the constant-bit-rate channels typically provided by real-time protocols, severely reducing the efficiency of network utilization. This paper focuses on low-latency multimedia transmission over Ethernet with dynamic quality-of-service (QoS) management. We propose a multidimensional mechanism that controls, in an integrated way, both the compression parameters and the network bandwidth allocated to each stream. The goal is to provide the best possible QoS to each stream, recomputing the compression levels and network bandwidth whenever significant events, such as channel setup/teardown, or structural changes happen. This paper also presents novel QoS metrics based both on the image quality and network parameters. Several experiments with prerecorded video streams illustrate the advantages of the proposed approach and the convenience of the metrics.
doi_str_mv 10.1109/TIE.2010.2049711
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source IEEE Electronic Library (IEL) Journals
subjects Bandwidth
Channels
Communication system traffic control
Compressing
Compressors
Ethernet networks
Industrial networks
Information processing
Interference constraints
Management
Multimedia
Networks
Protocol (computers)
Protocols
quality-of-service (QoS) management
Real time
Streaming media
Streams
Time factors
Video compression
title Online QoS Management for Multimedia Real-Time Transmission in Industrial Networks
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