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I: Smart Data Pricing in Today's Ecosystem
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I: Smart Data Pricing in Today's Ecosystem
by Mung Chiang, Sangtae Ha, Carlee Joe-Wong, Soumya Sen
Smart Data Pricing
Cover
Series
Title Page
Copyright
Foreword
Preface
Acknowledgments
Contributors
I: Smart Data Pricing in Today's Ecosystem
Chapter 1: Will Smart Pricing Finally Take Off?
1.1 Introduction
1.2 Telecom Mistakes
1.3 Voice and Other Missed Opportunities in Telecom
1.4 The Telecom Industry and Innovation
1.5 The Large Telecommunications Revenues
1.6 The High Potential for Profits in Telecommunications
1.7 Telco (R)evolutions
1.8 Capital Intensity
1.9 Mysteries of Investment, Costs, Profits, and Prices
1.10 A Historical Vignette: Bridger Mitchell and Flat Rates
1.11 Another Historical Vignette: Flat Rates for Data
1.12 Directions for Smart Pricing Research and Deployment
1.13 Growth in Demand
1.14 Technology Trends
1.15 Conclusions
Acknowledgments
References
Chapter 2: Customer Price Sensitivity to Broadband Service Speed: What are the Implications for Public Policy?
2.1 Introduction
2.2 Model
2.3 Data
2.4 Variable Descriptions
2.5 Results
2.6 Conclusions
References
Chapter 3: Network Neutrality with Content Caching and Its Effect on Access Pricing*
3.1 Introduction
3.2 Background
3.3 Two Different Eyeball ISPs
3.4 Three Different Congestion Points Per ISP, Fixed Caching Factors
3.5 One Congestion Point Per ISP, Fixed Caching Factors
3.6 Three Different Congestion Points Per ISP, Fixed Caching Factors, Multiple Providers of One of the Types
3.7 Numerical Experiments
3.8 Future Work
References
II: Technologies for Smart Data Pricing
Chapter 4: Pricing under Demand Flexibility and Predictability
4.1 Introduction
4.2 Pricing Under Demand Flexibilities
4.3 Pricing Under Predictable Demand
References
Chapter 5: Dual Pricing Algorithms by Wireless Network Duality for Utility Maximization
5.1 Introduction
5.2 Utility Maximization
5.3 The Wireless Network Duality
5.4 Numerical Examples
5.5 Conclusion
References
Chapter 6: Human Factors in Smart Data Pricing
6.1 Introduction
6.2 Methodology
6.3 Hci Lessons From the Energy Market
6.4 User Psychology in Home Networks
6.5 User Psychology in Bandwidth Pricing
6.6 Day-Ahead Dynamic TDP
6.7 Perspectives of Internet Ecosystem Stakeholders
6.8 Lessons From Day-Ahead Dynamic TDP Field Trials
6.9 Discussions And Conclusions
Acknowledgments
References
III: Usage-Based Pricing
Chapter 7: Quantifying the Costs of Customers for Usage-Based Pricing
7.1 Introduction
7.2 The Cost of a Customer in a Network
7.3 Discrepancy, The Metric of Comparing Different Cost-Sharing Policies
7.4 How Do We Compute the Costs of the Customers?
7.5 Where Do We Meter the Traffic?
7.6 What is the Impact of the Diverse Costs of the Devices?
7.7 Who is Liable for the Incurred Costs?
7.8 Related Work
7.9 Conclusions
References
Chapter 8: Usage-Based Pricing Differentiation for Communication Networks: Incomplete Information and Limited Pricing Choices*
8.1 Introduction
8.2 System Model
8.3 Complete Price Differentiation Under Complete Information
8.4 Single Pricing Scheme
8.5 Partial Price Differentiation Under Complete Information
8.6 Price Differentiation Under Incomplete Information
8.7 Connections With the Classical Price Differentiation Taxonomy
8.8 Numerical Results
8.9 Conclusion
Appendix 8.A
8.A.1 Complete Price Differentiation Under Complete Information With General Utility Functions
8.A.2 Proof of Proposition 8.1
8.A.3 Proof of Lemma 8.2
8.A.4 Proof of Theorem 8.4
8.A.5 Proof of Theorem 8.6
References
Chapter 9: Telecommunication Pricing: Smart Versus Dumb Pipes*
9.1 Introduction
9.2 Uniform Ordering
9.3 Nonuniform Ordering
9.4 Conclusion
References
IV: Content-Based Pricing
Chapter 10: Economic Models of Sponsored Content in Wireless Networks with Uncertain Demand
10.1 Introduction
10.2 Analyzing Sponsored Content When EUs Pay Per Byte
10.3 Analyzing Sponsored Content in the Case of EU Quotas
10.4 Summary
References
Chapter 11: CDN Pricing and Investment Strategies under Competition
11.1 Introduction
11.2 Related Works
11.3 Background
11.4 Content Producers’ CDN Selection Problem
11.5 CDN Pricing Game Under Competition
11.6 CDN Competition Under Market Structure Change
11.7 Conclusion
Acknowledgments
References
Chapter 12: Smart Pricing and Market Formation in Hybrid Networks
12.1 Spectrum Shortage
12.2 Peer-To-Peer Networking
12.3 Commercial Viability
12.4 Self-Balancing Supply/Demand
12.5 Hybrid Network Model Overview
12.6 Incentive Modeling
12.7 Flow Model
12.8 Prioritization Model
12.9 Conclusion
References
Chapter 13: To Tax or To Subsidize: The Economics of User-Generated Content Platforms
13.1 Introduction
13.2 Model
13.3 Profit Maximization on User-Generated Content Platforms
13.4 Extension to Heterogeneous Production Costs
13.5 Conclusion
References
V: Managing Content Delivery
Chapter 14: Spare Capacity Monetization by Opportunistic Content Scheduling
14.1 Summary
14.2 Background
14.3 The Plutus Approach
14.4 Architecture and Design
14.5 Performance Evaluation
14.6 Conclusions and Future Work
Acknowledgments
References
Chapter 15: Asynchronous Content Delivery and Pricing in Cellular Data Networks
15.1 Introduction
15.2 User Survey
15.3 Time-Shifting Traffic
15.4 Pricing to Enable Delivery-Shifting
15.5 Simulation Results
15.6 Conclusion
References
Chapter 16: Mechanisms for Quota Aware Video Adaptation
16.1 Introduction
16.2 Related Work
16.3 A Potential Solution: QAVA
16.4 QAVA System Design
16.5 Stream Selection
16.6 User and Video Profilers
16.7 Performance Evaluation
16.8 Conclusions
References
Chapter 17: The Role of Multicast in Congestion Alleviation
17.1 Congestion in Cellular Networks
17.2 Video, The Application
17.3 Why is Unicast not Ideal for all Video?
17.4 Why is Multicast Better for Video in Some Circumstances?
17.5 Broadcast, Multicast, and Unicast Architectures for the Delivery of Video
17.6 Future Potential Architectures Mixing Broadcast, Multicast and Unicast
17.7 Conclusions
References
VI: Pricing in the Cloud
Chapter 18: Smart Pricing of Cloud Resources
18.1 Data Center VM Instance Pricing
18.2 Data Center SLA-Based Pricing
18.3 Data Center TIME-DEPENDENT Pricing
18.4 Conclusion and Future Work
References
Chapter 19: Allocating and Pricing Data Center Resources with Power-Aware Combinatorial Auctions
19.1 Introduction
19.2 A Market Model of Data Center Allocation
19.3 Experimental Results
19.4 Going Beyond Processing and Power
19.5 Pricing
19.6 Conclusions
Acknowledgments
References
Index
Series
End User License Agreement
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Chapter 1: Will Smart Pricing Finally Take Off?
PART I
Smart Data Pricing in Today's Ecosystem
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