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A new tool for quality of multimedia estimation based on network behaviour
- Source :
- Perspectives in Science, Vol 7, Iss C, Pp 87-94 (2016)
- Publication Year :
- 2016
- Publisher :
- Elsevier, 2016.
-
Abstract
- Summary In this paper, we present a software tool capable of predicting the final quality of triple play services by using the most common assessment metrics. The quality of speech and video in network environment is a growing concern of all the internet service providers to carry the multimedia traffic without the excessive delays and losses, which degrade the quality of multimedia as it is perceived by the end users. Prediction mathematical model is based on results obtained from many performed testing scenarios simulating real behavior in the network. Based on the proposed model, speech or video quality is calculated with regard to policies applied for packet processing by routers and to the level of total network utilization. The application cannot only predict QoS parameters but also generate the source code of particular QoS policy setting according to the user interaction and apply the policy to the routers in the network. Contribution of the work consists of a new software tool enables network administrators and designers to improve and optimize network traffic efficiently.
- Subjects :
- Computer science
Application
Packet processing
QoS
02 engineering and technology
Video quality
computer.software_genre
Network simulation
Triple play
Packet loss
0202 electrical engineering, electronic engineering, information engineering
lcsh:Science
lcsh:Science (General)
Traffic generation model
Multimedia
business.industry
Quality of service
E-model
020206 networking & telecommunications
PESQ
Network traffic control
Neural network
Intelligent computer network
020201 artificial intelligence & image processing
lcsh:Q
business
computer
Computer network
lcsh:Q1-390
Subjects
Details
- Language :
- German
- ISSN :
- 22130209
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Perspectives in Science
- Accession number :
- edsair.doi.dedup.....daf4fef66225a823f82bac554b43a898