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Bushra Anjum, Harry G. Perros - Bandwidth Allocation for Video under Quality of Service Constraints, Inbunden

Inbunden, Engelska, 2014

Bandwidth Allocation for Video under Quality of Service Constraints

Av Bushra Anjum, Harry G. Perros

2429 kr

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Beskrivning
We present queueing-based algorithms to calculate the bandwidth required for a video stream so that the three main Quality of Service constraints, i.e., end-to-end delay, jitter and packet loss, are ensured.Conversational and streaming video-based applications are becoming a major part of the everyday Internet usage. The quality of these applications (QoS), as experienced by the user, depends on three main metrics of the underlying network, namely, end-to-end delay, jitter and packet loss. These metrics are, in turn, directly related to the capacity of the links that the video traffic traverses from its source to destination. The main problem that this book addresses is how much bandwidth we should allocate on the path from source to destination of a video traffic flow such that the end-to-end delay, jitter and packet loss of the video packets are within some expected required bounds.
Produktinformation
  • Utgivningsdatum: 2014-12-16
  • Mått: 163 x 244 x 16 mm
  • Vikt: 390 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 160
  • Förlag: ISTE Ltd and John Wiley & Sons Inc
  • ISBN: 9781848217461
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Mer information

Bushra Anjum is a Fulbright scholar and Assistant Professor in the Computer Science department at Missouri University of Science and Technology in the USA. Her research interests include mathematical and simulation based foundations of performance evaluation, network modeling and resource allocation under QoS constraints, queuing theory, data & network analytics and data science.Harry Perros is an IEEE Fellow, Professor of Computer Science and the co-founder and program coordinator of the Master of Science degree in Computer Networks at NC State University in the USA. His current research interests are in the areas of video traffic modeling, resource allocation under QoS, capacity planning of clouds, IoT, queuing theory and hidden Markov models.

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