Details

Advanced Content Delivery, Streaming, and Cloud Services


Advanced Content Delivery, Streaming, and Cloud Services


Wiley Series on Parallel and Distributed Computing 1. Aufl.

von: Mukaddim Pathan, Ramesh K. Sitaraman, Dom Robinson

97,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 19.09.2014
ISBN/EAN: 9781118909645
Sprache: englisch
Anzahl Seiten: 504

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Beschreibungen

<p>While other books on the market provide limited coverage of advanced CDNs and streaming technologies, concentrating solely on the fundamentals, this book provides an up-to-date comprehensive coverage of the state-of-the-art advancements in CDNs, with a special focus on Cloud-based CDNs. The book includes CDN and media streaming basics, performance models, practical applications, and business analysis. It features industry case studies, CDN applications, and open research issues to aid practitioners and researchers, and a market analysis to provide a reference point for commercial entities. The book covers Adaptive Bitrate Streaming (ABR), Content Delivery Cloud (CDC), Web Acceleration, Front End Optimization (FEO), Transparent Caching, Next Generation CDNs, CDN Business Intelligence and more.</p> <ul> <li>Provides an in-depth look at Cloud-based CDNs</li> <li>Includes CDN and streaming media basics and tutorials</li> <li>Aimed to instruct systems architects, practitioners, product developers, and researchers</li> <li>Material is divided into introductory subjects, advanced content, and specialist areas</li> </ul>
<p>Preface xv</p> <p>Acknowledgments xxi</p> <p>Contributors xxiii</p> <p><b>PART I CDN AND MEDIA STREAMING BASICS 1</b></p> <p><b>1 CLOUD-BASED CONTENT DELIVERY AND STREAMING 3</b><br /><i>Mukaddim Pathan</i></p> <p>1.1 Introduction 3</p> <p>1.2 CDN Overview 5</p> <p>1.3 Workings of a CDN 10</p> <p>1.4 CDN Trends 21</p> <p>1.5 Research Issues 28</p> <p>1.6 Conclusion 29</p> <p>References 29</p> <p><b>2 LIVE STREAMING ECOSYSTEMS 33</b><br /><i>Dom Robinson</i></p> <p>2.1 Introduction 33</p> <p>2.2 Live Streaming Pre-Evolution 34</p> <p>2.3 Live, Linear, Nonlinear 35</p> <p>2.4 Media Streaming 37</p> <p>2.5 Related Network Models 38</p> <p>2.6 Streaming Protocol Success 43</p> <p>2.7 Platform Divergence and Codec Convergence 44</p> <p>2.8 Adaptive Bitrate (ABR) Streaming 45</p> <p>2.9 Internet Radio and HTTP 48</p> <p>2.10 Conclusion 48</p> <p>References 49</p> <p><b>3 PRACTICAL SYSTEMS FOR LIVE STREAMING 51</b><br /><i>Dom Robinson</i></p> <p>3.1 Introduction 51</p> <p>3.2 Common Concepts in Live Streaming 52</p> <p>3.3 The Practicals 56</p> <p>3.4 Conclusion 69</p> <p>References 70</p> <p><b>4 EFFICIENCY OF CACHING AND CONTENT DELIVERY IN BROADBAND ACCESS NETWORKS 71</b><br /><i>Gerhard Haslinger</i></p> <p>4.1 Introduction 71</p> <p>4.2 Options and Properties for Web Caching 73</p> <p>4.3 Zipf Laws for Requests to Popular Content 75</p> <p>4.4 Efficiency and Performance Modeling for Caches 76</p> <p>4.5 Effect of Replacement Strategies on Cache Hit Rates 78</p> <p>4.6 Replacement Methods Based on Request Statistics 81</p> <p>4.7 Global CDN and P2P Overlays for Content Delivery 84</p> <p>4.8 Summary and Conclusion 86</p> <p>Acknowledgments 87</p> <p>References 87</p> <p><b>5 ANYCAST REQUEST ROUTING FOR CONTENT DELIVERY NETWORKS 91</b><br /><i>Hussein A. Alzoubi, Michael Rabinovich, Seungjoon Lee, Kobus Van Der Merwe, and Oliver Spatscheck</i></p> <p>5.1 Introduction 91</p> <p>5.2 CDN Request Routing: An Overview 93</p> <p>5.3 A Practical Load-Aware IP Anycast CDN 96</p> <p>5.4 Mapping Algorithms 98</p> <p>5.5 Evaluation 102</p> <p>5.6 IPv6 Anycast CDNs 107</p> <p>5.7 Discussion and Open Questions 114</p> <p>5.8 Conclusion 116</p> <p>References 116</p> <p><b>6 CLOUD-BASED CONTENT DELIVERY TO HOME ECOSYSTEMS 119</b><br /><i>Tiago Cruz, Paulo Sim̃oes, and Edmundo Monteiro</i></p> <p>6.1 Introduction 119</p> <p>6.2 Bringing Cloud Services to Home: State of the Art 120</p> <p>6.3 Virtualizing the Access Network Infrastructure 123</p> <p>6.4 Virtualization for Cloud Service Delivery to Home 130</p> <p>6.5 Future Trends 137</p> <p>6.6 Summary and Conclusion 137</p> <p>Acknowledgments 137</p> <p>References 138</p> <p><b>7 MOBILE VIDEO STREAMING 141</b><br /><i>Ram Lakshmi Narayanan, Yinghua Ye, Anuj Kaul, and Mili Shah</i></p> <p>7.1 Introduction 141</p> <p>7.2 Mobile Broadband Architecture 142</p> <p>7.3 Video Streaming Protocols 143</p> <p>7.4 Video Optimization Services 146</p> <p>7.5 Operator-Hosted CDN 149</p> <p>7.6 Cloud-Based Video Streaming 151</p> <p>7.7 Future Research Directions 154</p> <p>Acknowledgments 156</p> <p>References 156</p> <p><b>PART II CDN PERFORMANCE MANAGEMENT AND OPTIMIZATION 159</b></p> <p><b>8 CDN ANALYTICS: A PRIMER 161</b><br /><i>Timothy Siglin</i></p> <p>8.1 Introduction 161</p> <p>8.2 Why Measure? 162</p> <p>8.3 What do we Measure? 162</p> <p>8.4 What about Business Intelligence? 169</p> <p>8.5 Measuring Stateless Delivery 171</p> <p>8.6 Billing Analytics 173</p> <p>8.7 CDN Analytics Tools 174</p> <p>8.8 Recent Trends in CDN Analytics 175</p> <p>8.9 Conclusion 176</p> <p>References 176</p> <p><b>9 CDN MODELING 179</b><br /><i>Tolga Bektas and Ozgur Ercetin</i></p> <p>9.1 Introduction 179</p> <p>9.2 Basics on Mathematical Modeling and Optimization 180</p> <p>9.3 Video-on-Demand Applications 182</p> <p>9.4 Optimization Problems in Content Delivery and VoD Services 185</p> <p>9.5 Visionary Thoughts for Practitioners 198</p> <p>9.6 Future Research Directions 198</p> <p>9.7 Conclusions 199</p> <p>Acknowledgments 200</p> <p>References 200</p> <p><b>10 ANALYZING CONTENT DELIVERY NETWORKS 203</b><br /><i>Benjamin Molina, Jaime Calvo, Carlos E. Palau, and Manuel Esteve</i></p> <p>10.1 Introduction 203</p> <p>10.2 Previous Work 204</p> <p>10.3 Basic CDN Model 205</p> <p>10.4 Enhancing the Model 206</p> <p>10.5 Performance Evaluation 212</p> <p>10.6 Conclusions 216</p> <p>References 216</p> <p><b>11 MULTISOURCE STREAM AGGREGATION IN THE CLOUD 219</b><br /><i>Marat Zhanikeev</i></p> <p>11.1 Introduction 219</p> <p>11.2 Terminologies 221</p> <p>11.3 Background and Related Work 222</p> <p>11.4 The Substream Method in the Cloud 224</p> <p>11.5 Stream Aggregation in the Cloud 226</p> <p>11.6 Models 228</p> <p>11.7 Analysis 231</p> <p>11.8 Visionary Thoughts for Practitioners 236</p> <p>11.9 Future Research Directions 238</p> <p>11.10 Conclusion 239</p> <p>References 239</p> <p><b>12 BEYOND CDN: CONTENT PROCESSING AT THE EDGE OF THE CLOUD 243</b><br /><i>Salekul Islam and Jean-Charles Gŕegoire</i></p> <p>12.1 Introduction 243</p> <p>12.2 Existing Content Delivery Platforms 244</p> <p>12.3 Comparison of Existing Content Delivery Platforms 247</p> <p>12.4 An Edge Cloud-Based Model 251</p> <p>12.5 Results and Insights 255</p> <p>12.6 Future Research Directions 256</p> <p>12.7 Conclusion 257</p> <p>References 257</p> <p><b>13 DYNAMIC RECONFIGURATION FOR ADAPTIVE STREAMING 259</b><br /><i>Norihiko Yoshida</i></p> <p>13.1 Introduction 259</p> <p>13.2 Background and Related Work 260</p> <p>13.3 Dynamic Server Deployment 262</p> <p>13.4 From Content Delivery to Streaming 263</p> <p>13.5 Future Research Directions 267</p> <p>13.6 Conclusion 269</p> <p>Acknowledgments 269</p> <p>References 269</p> <p><b>14 MINING DISTRIBUTED DATA STREAMS ON CONTENT DELIVERY NETWORKS 273</b><br /><i>Eugenio Cesario, Carlo Mastroianni, and Domenico Talia</i></p> <p>14.1 Introduction 273</p> <p>14.2 Background and Related Work 275</p> <p>14.3 A Hybrid Multidomain Architecture 277</p> <p>14.4 A Prototype for Stream Mining in a CDN 281</p> <p>14.5 Visionary Thoughts for Practitioners 285</p> <p>14.6 Future Research Directions 285</p> <p>14.7 Conclusion 286</p> <p>References 286</p> <p><b>15 CDN CAPACITY PLANNING 289</b><br /><i>Phil Davies and Mukaddim Pathan</i></p> <p>15.1 Introduction 289</p> <p>15.2 Capacity Planning Process 290</p> <p>15.3 Undertaking the Capacity Planning Process 295</p> <p>15.4 CDN Capacity Planning Case Study 300</p> <p>15.5 Recent Developments and Challenges 302</p> <p>15.6 Summary and Conclusion 303</p> <p>References 303</p> <p><b>PART III CASE STUDIES AND NEXT GENERATION CDNs 305</b></p> <p><b>16 OVERLAY NETWORKS: AN AKAMAI PERSPECTIVE 307</b><br /><i>Ramesh K. Sitaraman, Mangesh Kasbekar, Woody Lichtenstein, and Manish Jain</i></p> <p>16.1 Introduction 307</p> <p>16.2 Background 309</p> <p>16.3 Caching Overlays 314</p> <p>16.4 Routing Overlays 318</p> <p>16.5 Security Overlays 323</p> <p>16.6 Conclusion 325</p> <p>References 326</p> <p><b>17 NEXT-GENERATION CDNs: A CoBlitz PERSPECTIVE 329</b><br /><i>Vivek S. Pai</i></p> <p>17.1 Introduction 329</p> <p>17.2 Carrier CDNs 331</p> <p>17.3 Managed CDNs 332</p> <p>17.4 Federated CDNs 333</p> <p>17.5 Licensed CDNs 335</p> <p>17.6 Case Study: CoBlitz 337</p> <p>17.7 CoBlitz Commercialization 343</p> <p>17.8 Implications of HTTP Adaptive Streaming 345</p> <p>17.9 CoBlitz Commercialization Lessons 347</p> <p>17.10 CDN Industry Directions 348</p> <p>Acknowledgments 349</p> <p>References 349</p> <p><b>18 CONTENT DELIVERY IN CHINA: A ChinaCache PERSPECTIVE 353</b><br /><i>Michael Talyansky, Alexei Tumarkin, Hunter Xu, and Ken Zhang</i></p> <p>18.1 Introduction 353</p> <p>18.2 Content-Aware Network Services in China 356</p> <p>18.3 Directions for Future CDN Research and Trends in China 365</p> <p>18.4 Conclusion 366</p> <p>References 366</p> <p><b>19 PlatonTV: A SCIENTIFIC HIGH DEFINITION CONTENT DELIVERY PLATFORM 369</b><br /><i>Mirosław Czyrnek, Jedrzej Jajor, Jerzy Jamrozy, Ewa Kusmierek, Cezary Mazurek, Maciej Stroinski, and Jan Weglarz</i></p> <p>19.1 Introduction 369</p> <p>19.2 Background and Related Work 371</p> <p>19.3 PlatonTV Architecture 372</p> <p>19.4 Content Ingest 374</p> <p>19.5 Content Distribution and Management 376</p> <p>19.6 Content Delivery 379</p> <p>19.7 Availability and Reliability 381</p> <p>19.8 Visionary Thoughts for Practitioners 382</p> <p>19.9 Future Research Directions 383</p> <p>19.10 Conclusion 383</p> <p>Acknowledgments 383</p> <p>References 384</p> <p><b>20 CacheCast: A SINGLE-SOURCE MULTIPLE-DESTINATION CACHING MECHANISM 385</b><br /><i>Piotr Srebrny, Dag H.L. Sorbo, Thomas Plagemann, Vera Goebel, and Andreas Mauthe</i></p> <p>20.1 Introduction 385</p> <p>20.2 Related Work 387</p> <p>20.3 CacheCast Overview 388</p> <p>20.4 Background on Multidestination Traffic 389</p> <p>20.5 CacheCast Design 391</p> <p>20.6 CacheCast Efficiency 396</p> <p>20.7 CacheCast Applications 399</p> <p>20.8 Visionary Thoughts for Practitioners 407</p> <p>20.9 Future Research Directions 409</p> <p>20.10 Conclusion 409</p> <p>Acknowledgments 410</p> <p>References 410</p> <p><b>21 CONTENT REPLICATION AND DELIVERY IN INFORMATION-CENTRIC NETWORKS 413</b><br /><i>Vasilis Sourlas, Paris Flegkas, Dimitrios Katsaros, and Leandros Tassiulas</i></p> <p>21.1 Introduction 413</p> <p>21.2 Related Work 414</p> <p>21.3 Framework for Information Replication in ICN 416</p> <p>21.4 Performance Evaluation 423</p> <p>21.5 Future Research Directions 426</p> <p>21.6 Conclusion 426</p> <p>Acknowledgments 427</p> <p>References 427</p> <p><b>22 ROBUST CONTENT BROADCASTING IN VEHICULAR NETWORKS 431</b><br /><i>Giancarlo Fortino, Carlos T. Calafate, Juan C. Cano, and Pietro Manzoni</i></p> <p>22.1 Introduction 431</p> <p>22.2 Vehicular Networks 432</p> <p>22.3 Forward Error Correction Techniques 433</p> <p>22.4 A Robust Broadcast-Based Content Delivery System 434</p> <p>22.5 CDS Simulation in NS-3 436</p> <p>22.6 Performance Evaluation 437</p> <p>22.7 Future Research Trends 444</p> <p>22.8 Summary and Conclusion 446</p> <p>Acknowledgments 447</p> <p>References 447</p> <p><b>23 ON THE IMPACT OF ONLINE SOCIAL NETWORKS IN CONTENT DELIVERY 449</b><br /><i>Irene Kilanioti, Chryssis Georgiou, and George Pallis</i></p> <p>23.1 Introduction 449</p> <p>23.2 Online Social Networks Background 450</p> <p>23.3 Characterization of Social Cascades 453</p> <p>23.4 Online Social Network Measurements 456</p> <p>23.5 Systems 458</p> <p>23.6 Future Research Directions 459</p> <p>23.7 Conclusion 461</p> <p>Acknowledgments 461</p> <p>References 461</p> <p>Index 465</p>
<p><b>Mukaddim Pathan</b>, PhD, is a Senior Specialist of Content Delivery Networks at Telstra Corporation Limited, Australia. He contributed in the development of MetaCDN, a Cloud-based CDN.</p> <p><b>Ramesh K. Sitaraman</b>, is a computer science professor at the University of Massachusetts, Amherst, USA. He is best known for his role in pioneering the first large content delivery networks. He helped create Akamai's distributed network and is an Akamai Fellow.</p> <p><b>Dom Robinson</b> is the co-Founder and Director of Innovations at ide3as-company, UK. TVConnect 2014 awarded him as one of the 100 most influential people worldwide in TV and Media.</p>
While other books on the market provide limited coverage of advanced CDNs and streaming technologies, concentrating solely on the fundamentals, this book provides an up-to-date comprehensive coverage of the state-of-the-art advancements in CDNs, with a special focus on Cloud-based CDNs.<br />The book includes CDN and media streaming basics, performance models, practical applications, and business analysis. It features industry case studies, CDN applications, and open research issues to aid practitioners and researchers, and a market analysis to provide a reference point for commercial entities. <br />The book covers Adaptive Bitrate Streaming (ABR), Content Delivery Cloud (CDC), Web Acceleration, Front End Optimization (FEO), Transparent Caching, Next Generation CDNs, CDN Business Intelligence and more.

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