IPTV delivery networks next generation architectures for live and video-on-demand services

A GUIDE TO THE CURRENT TECHNOLOGIES RELATED TO THE DELIVERY PROCESS FOR BOTH LIVE AND ON-DEMAND SERVICES WITHIN IPTV DELIVERY NETWORKS IPTV Delivery Networks is an important resource that offers an in-depth discussion to the IPTV "Internet Protocol Television" delivery networks for both li...

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Detalles Bibliográficos
Otros Autores: Fati, Suliman, author (author), Fati, Suliman Mohamed, 1978- editor (editor), Azad, Saiful, editor, Pathan, Al-Sakib Khan, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey, USA : Wiley 2018.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630373906719
Tabla de Contenidos:
  • List of Contributors xvii
  • Editor Biographies xxi
  • Preface xxiii
  • Acknowledgement xxvii
  • Part I IPTV Delivery Networks Fundamentals 1
  • 1 IPTV: Delivering TV Services over IP Networks 3 /Suliman Mohamed Fati and Putra Sumari
  • 1.1 Overview 3
  • 1.2 Internet Protocol Television 4
  • 1.3 Evolution of TV to IPTV 6
  • 1.3.1 IPTV Services 7
  • 1.3.2 IPTV Standardisation 8
  • 1.3.3 General Architecture of IPTV 9
  • 1.4 IPTV Delivery Network 10
  • 1.5 Evolution of the Delivery Network 11
  • 1.5.1 IPTV Delivery Network Characteristics and Challenges 15
  • 1.6 The Key Issues of IPTV Delivery Networks 17
  • 1.7 Conclusion 18
  • References 19
  • 2 IPTV Streaming Classification 25 /Miguel Masciopinto, Pedro Comesaña, and Fernando Pérez-González
  • 2.1 Introduction 25
  • 2.2 Framework 29
  • 2.2.1 IPTV Description 30
  • 2.2.2 IPTV Bitrate Footprint 32
  • 2.3 Classification Scheme 33
  • 2.3.1 SVM Classifier 36
  • 2.4 Experimental Setup 36
  • 2.4.1 Database Construction 37
  • 2.4.2 Training/Test Set-Partitioning 38
  • 2.4.3 Classification Performance Measures 41
  • 2.5 Experimental Results 44
  • 2.5.1 TSS vs. OFS Classification 45
  • 2.5.2 TSS Ternary (DVD vs. DVB-S vs. DVB-T) Classification 47
  • 2.5.3 TSS Binary (DVB-S vs. DVB-T) Classification 50
  • 2.5.4 OFS Binary (DVB-S vs. DVB-T) Classification 53
  • 2.5.5 Relevance of the Used Statistics 55
  • 2.6 Conclusions 59
  • Acknowledgement 60
  • References 60
  • 3 Efficient IPTV Delivery over EPON 65 /AliAkbar Nikoukar, I-Shyan Hwang, and Andrew Tanny Liem
  • 3.1 Introduction 65
  • 3.2 Broadband Access Network Technologies 67
  • 3.3 Live IPTV Delivery over EPON 76
  • 3.3.1 Hardware Architecture 78
  • 3.3.2 Multicast Protocol Design 80
  • 3.3.3 Pre-request Broadcasting Mechanism 81
  • 3.3.4 Performance evaluation 85
  • 3.4 Conclusions 88
  • References 88
  • 4 Content Awareness in IPTV Delivery Networks 93 /Suliman Mohamed Fati and Putra Sumari
  • 4.1 Introduction 93
  • 4.2 The Key Challenges in IPTV Delivery Networks 97.
  • 4.2.1 Request Distribution Algorithms in IPTV Delivery Networks 97
  • 4.2.2 Cost Reduction in IPTV Delivery Networks 102
  • 4.2.2.1 Replica Placement Schemes in IPTV Delivery Networks 103
  • 4.2.2.2 Resource Allocation Schemes in IPTV Delivery Networks 105
  • 4.3 Content Status Issue in IPTV Delivery Networks 108
  • 4.3.1 Unawareness of Content Status in Replica Placement Schemes 109
  • 4.3.2 Unawareness of Content Status in Request Distribution Algorithms 110
  • 4.3.3 Unawareness of Content Status in Resource Allocation 110
  • 4.4 IPTV Content Status Modelling: A New Direction 111
  • 4.4.1 IPTV Content Status Modelling 112
  • 4.4.2 Experimental Results 114
  • 4.5 Conclusion 118
  • References 119
  • Part II QoS and QoE for IPTV Delivery Networks 127
  • 5 Zapping Delay Reduction in IPTV Systems 129 /Alireza Abdollahpouri
  • 5.1 Introduction 129
  • 5.2 A Review of the Existing Studies 131
  • 5.2.1 Reduce I-Frame Acquisition Delay 131
  • 5.2.1.1 Use Additional Stream 131
  • 5.2.1.2 Inserting Extra I-Frames and Reduction in the Size of GOP 132
  • 5.2.2 Prediction-Based Mechanisms 133
  • 5.2.3 Techniques Based on Scalable Video Coding 134
  • 5.2.4 Techniques Based on IGMP Schemes 134
  • 5.3 Prediction-Based PrejoiningMethod inWiMAX Networks 136
  • 5.3.1 Modelling the Behaviour of a Single IPTV User, During an ON Session 137
  • 5.4 Performance Evaluation 142
  • 5.5 Future Directions for Research 146
  • 5.6 Conclusion 147
  • References 147
  • 6 Channel-Zapping Time in IPTV: Challenges and Solutions 151 /Sajjad Zare, SeyyedMohammad Hosseini Verki, and Akbar Ghaffarpour Rahbar
  • 6.1 Introduction 151
  • 6.1.1 IPTV Network Infrastructure 151
  • 6.1.1.1 Basic IPTV System 152
  • 6.1.1.2 IP Multicast in IPTV Architecture 153
  • 6.1.1.3 P2P IPTV Architecture 153
  • 6.1.2 Business Models 154
  • 6.1.2.1 Free to Air (FTA) 154
  • 6.1.2.2 PPV 155
  • 6.1.2.3 Subscription 155
  • 6.1.2.4 A La Carte 155
  • 6.2 Challenges in Channel-Zapping Time 155
  • 6.2.1 Jitter 156
  • 6.2.2 Limited Bandwidth 156.
  • 6.2.3 Elements of Zapping Delay 156
  • 6.3 Proposed Methods for Reducing Channel-Zapping Time 158
  • 6.3.1 Client-Based Methods 158
  • 6.3.1.1 Pre-Joining Neighbouring Channels 158
  • 6.3.1.2 Tracking User Behaviour 159
  • 6.3.1.3 Ordering Pre-Join Channels in the List 161
  • 6.3.2 Content-Based Methods 163
  • 6.3.3 Network-Based Methods 167
  • 6.3.3.1 Improving Zap Response Time for IPTV 169
  • 6.3.3.2 A Novel Channel Switching Scenario in Multicast IPTV Networks 169
  • 6.3.3.3 IGMP for IPTV Services in Passive Optical Networks 170
  • 6.3.3.4 Implementation of EIGMP for Fast IPTV Channel Change in GEPON 171
  • 6.3.3.5 Advanced Scheme to Reduce IPTV Channel-Zapping Time 172
  • 6.3.4.1 An Effective IPTV Channel Control Algorithm Considering Channel-Zapping Time and Network Utilisation 172
  • 6.3.4.2 Multicast Instant Channel Change (ICC) in IPTV Systems 174
  • 6.3.4.3 IPTV Channel Switching Delay Reduction Through Predicting Subscribers’ Behaviours and Preferences 175
  • 6.3.5 Programme-Based Methods 176
  • 6.4 Discussion 177
  • 6.5 Summary 180
  • References 180
  • 7 Delivering High-Definition IPTV Services over IP-Based Networks 185 /Seongik Hong
  • 7.1 Introduction 185
  • 7.2 HD Video Compression 188
  • 7.2.1 Issues for HD Video Transmission 188
  • 7.2.1.1 Issue 1: Large Bandwidth Requirements 188
  • 7.2.1.2 Issue 2: QoS 189
  • 7.2.1.3 Issue 3: Network Responsiveness/Instant Channel Change 189
  • 7.2.2 Solutions 190
  • 7.2.2.1 Solution 1: Solving Large Bandwidth Requirements 190
  • 7.2.2.2 Solution 2-1: QoS: Protocols and Networks 192
  • 7.2.2.3 Solution 2-2: QoS: Reducing Packet Loss 194
  • 7.2.2.4 Solution 3: Solving Instant Channel Change Issue 197
  • 7.3 Future Trends 198
  • 7.4 Conclusion 199
  • References 199
  • 8 IPTV Network Security: Threats and Countermeasures 203 /M. S. A. Noman Ranak, Saiful Azad, B. M. F. Kamal Ruhee, N. Nourin Nisa, Nazrul Kabir,MohammedMostafizur Rahman, and Kamal Z. Zamli
  • 8.1 Introduction 203
  • 8.2 Threats on IPTV Delivery Networks 204.
  • 8.2.1 Theft or Abuse of Network Assets 206
  • 8.2.2 Theft of Service 206
  • 8.2.3 Theft of IPTV-Related Data 208
  • 8.2.4 Disruption of Service 208
  • 8.2.5 Privacy Breach 209
  • 8.2.6 Compromise of Platform Integrity 209
  • 8.3 Security Issues of IPTV Delivery Networks 209
  • 8.3.1 Protocols Vulnerabilities 214
  • 8.3.1.1 IGMP 215
  • 8.3.1.2 PIM 215
  • 8.3.1.3 MBGP 216
  • 8.3.1.4 MSDP 217
  • 8.3.1.5 RTP and RTP Control Protocol (RTCP) 218
  • 8.4 Countering theThreats 219
  • 8.5 Open Research Issues 221
  • 8.6 Conclusions 222
  • References 222
  • 9 Anomaly Detection and Big Data in IPTV Networks 225 /Mohiuddin Ahmed andMd. Niaz-Ul Haque
  • 9.1 Introduction 225
  • 9.1.1 Chapter Roadmap 227
  • 9.2 Complex Data in IPTV Networks 228
  • 9.3 Anomaly in the Context of IPTV Networks 229
  • 9.3.1 HHH 230
  • 9.3.2 Succinct Hierarchical Heavy Hitter (SHHH) 231
  • 9.3.3 Time Series 231
  • 9.3.4 Definition of Anomaly 231
  • 9.4 A Case Study of Anomaly Detection Technique in IPTV Networks 232
  • 9.4.1 Limitations of Anomaly Detection in IPTV Networks 233
  • 9.4.2 Experimental Data 234
  • 9.4.3 Experimental Analysis 235
  • 9.5 Future Research Directions: Big Data 235
  • 9.5.1 Three Vs of Big Data 235
  • 9.5.2 Big Data in the IPTV Industry 237
  • 9.5.3 The Challenges Associated with Big Data in IPTV 239
  • 9.5.4 Contributions of IPTV Service Providers in the Realm of Big Data 241
  • 9.6 Conclusions 242
  • References 243
  • Part III Mobility and Next-Generation Delivery Networks 245
  • 10 Taxonomy of Intra-Domain Mobility Management Schemes inWirelessMesh Network for ImplementingMobile IPTV 247 /Abhishek Majumder, Subhrajyoti Deb, and Sudipta Roy
  • 10.1 Introduction 247
  • 10.2 Classification 250
  • 10.2.1 Tunnelling-Based Schemes 251
  • 10.2.1.1 ANT 251
  • 10.2.1.2 Mesh Mobility Management (M3) 253
  • 10.2.1.3 Static Anchor Scheme 255
  • 10.2.1.4 Dynamic Anchor Scheme 256
  • 10.2.1.5 SMR-Based Scheme 257
  • 10.2.2 Routing-Based Schemes 258
  • 10.2.2.1 Infrastructure Mesh (iMesh) 258.
  • 10.2.2.2 OLSR-FastSync 259
  • 10.2.2.3 Ad Hoc on-Demand Distance Vector and Mesh and Mesh Networks with MObility Management (AODV-MEMO) 260
  • 10.2.2.4 Mobile Party 263
  • 10.2.2.5 Wireless Mesh Mobility Management (WMM) 264
  • 10.2.2.6 LMMesh 265
  • 10.2.2.7 Forward Pointer-Based Routing (FPBR) 266
  • 10.2.3 Multicasting-Based Scheme 267
  • 10.2.3.1 SMesh 267
  • 10.3 Advantages and Disadvantages 268
  • 10.4 Open Research Issues 279
  • 10.5 Conclusion 280
  • Acknowledgement 280
  • References 280
  • 11 TowardsMulti-Operator IPTV Services Over 5G Networks 283 /Gergely Biczók, Manos Dramitinos, Håkon Lønsethagen, LuisM. Contreras, George D. Stamoulis, and Laszlo Toka
  • 11.1 Introduction 283
  • 11.2 Single-Provider IPTV Services 284
  • 11.2.1 Customer-Centric Challenges and Technical Issues 285
  • 11.2.2 Business Issues and Challenges 288
  • 11.2.3 Operators’ Solutions and Architecture 290
  • 11.3 IPX Multi-Service Internetworking 293
  • 11.4 Multi-Operator IPTV Services in 5G Networks 294
  • 11.4.1 Technical Issues and Challenges 295
  • 11.4.1.1 SDN and NFV Exploitation 295
  • 11.4.1.2 Lack of QoS Assurance - SLAs 296
  • 11.4.1.3 Lack of Monitoring and SLA-Based Rewards 297
  • 11.4.1.4 Wholesale and Retail Market Coordination 297
  • 11.4.1.5 Pricing and Charging Layers 299
  • 11.4.2 Business Issues and Challenges 300
  • 11.4.2.1 Generic Issues and Challenges 300
  • 11.4.2.2 IPTV Distribution of ‘Small/Medium‘ Live Events 302
  • 11.4.2.3 User-Generated Content 303
  • 11.4.3 Solutions and Architecture: The 5GEx Approach 304
  • 11.4.3.1 5GEx Exchange: An Open Multi-Service Internetworking Approach 304
  • 11.4.3.2 Roadmap and Coordination Models 307
  • 11.4.3.3 Pricing and Charging Solutions 308
  • 11.5 Future Research 310
  • 11.6 Conclusions 311
  • Acknowledgement 312
  • References 312
  • 12 Technologies and Architectures for Future IP Television Services 315 /Lucile Sassatelli and Marie-José Montpetit
  • 12.1 Introduction 315.
  • 12.2 The Evolution of Users’ Experience: Usage, Expectations and Reluctances 316
  • 12.2.1 Broadcast Versus OTT: Towards a Spurious Opposition 316
  • 12.2.2 The Multi-Screen Multi-Device Anywhere Experience 317
  • 12.2.3 Business Experiences and Inevitable Evolution for the Stakeholders 319
  • 12.3 Architectural Evolution of IPTV: Towards a Smart Meld with OTT 320
  • 12.3.1 The Main Overhauls of IPTV: HTML5, Cloudification, Software-Defined Video 320
  • 12.3.2 Legacy IPTV Extending its Reach by Inspiring OTT Evolution: Multicast, Caching, Peer-to-Peer (P2P) 323
  • 12.3.3 Coordinating the OTT delivery entities to enforce IPTV-like quality of experience: Collaboration between ISPs, CDNs and CPs 329
  • 12.4 Technical focus 331
  • 12.4.1 P2P assistance to CDNs, caching and ICN 332
  • 12.4.2 TheWireless Video Challenge: In-HomeWiFi and Offloading of Cellular Networks 335
  • 12.4.3 VR: The greatest technological challenge ahead? 337
  • References 338
  • Contributor Biographies 345
  • Index 357.