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Bandwidth allocation for video under quality of service constraints /

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 every...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Anjum, Bushra (Autor), Perros, Harry G. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : ISTE, 2015.
Colección:Focus series in networks and telecommunications.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Anjum, Bushra,  |e author. 
245 1 0 |a Bandwidth allocation for video under quality of service constraints /  |c Bushra Anjum, Harry Perros. 
264 1 |a London :  |b ISTE,  |c 2015. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Focus series in networks and telecommunications 
504 |a Includes bibliographical references and index. 
505 0 |a Cover; Title Page; Copyright; Contents; Biographies; Bushra Anjum; Harry G. Perros; Acronyms; Introduction; I.1. QoS evolution in the IP network; I.1.1. Real Time Protocol (RTP); I.1.2. Integrated Services (IntServ); I.1.3. Differentiated Services (DiffServ); I.1.4. Multiprotocol Label Switching (MPLS); I.2. Elements of QoS architecture; I.2.1. Traffic classification; I.2.2. Queuing and scheduling policies; I.2.3. Policing of a packet flow; I.2.4. CAC; I.2.5. Traffic engineering; I.3. Problem definition: bandwidth allocation under QoS constraints 
505 8 |a I.3.1. Bandwidth allocation based on the packet loss rate -- literature reviewI. 3.2. Bandwidth allocation based on end-to-end delay -- literature review; I.4. Organization of the book; 1: Partitioning the End-to-End QoS Budget to Domains; 1.1. The need for adding percentiles; 1.2. Calculation of the weight function; 1.2.1. Exponential components with identical rate parameters; 1.2.2. Exponential components with different rate parameters; 1.2.3. Two-stage Coxian; 1.3. Interprovider quality of service; 1.4. Single source shortest path using Dijkstra's algorithm; 1.5. Conclusions 
505 8 |a 2: Bandwidth Allocation for Video: MMPP2 Arrivals2.1. The queueing network under study; 2.2. Single-node decomposition; 2.3. Bandwidth estimation based on bounds; 2.4. Validation; 2.5. Conclusions; 3: Bandwidth Allocation for Video: MAP2 Arrivals; 3.1. The queueing network under study; 3.2. End-to-end delay estimation based on bounds; 3.2.1. The interpolation function; 3.3. Validation; 3.4. Video traces; 3.5. Conclusions; 4: Bandwidth Allocation for Video: Video Traces; 4.1. The proposed algorithm; 4.2. Test traces; 4.3. Bandwidth requirements for homogeneous flows 
505 8 |a 4.4. Bandwidth allocation under percentile delay and jitter constraints4.5. Bandwidth allocation under percentile delay, average jitter and packet loss rate constraints; 4.6. Conclusions; Bibliography; Index 
520 |a 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 trave. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Data compression (Telecommunication) 
650 6 |a Données  |x Compression (Télécommunications) 
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650 7 |a Data compression (Telecommunication)  |2 fast 
700 1 |a Perros, Harry G.,  |e author. 
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