Home Page Icon
Home Page
Table of Contents for
Contents
Close
Contents
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
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Cover
Next
Next Chapter
Series
Table of Contents
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
Pages
xv
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
35
36
37
38
39
40
41
42
43
44
45
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
444
443
445
446
447
448
449
450
451
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
Guide
Cover
Table of Contents
Preface
I: Smart Data Pricing in Today's Ecosystem
Chapter 1: Will Smart Pricing Finally Take Off?
List of Illustrations
Figure 1
Figure 3.1
Figure 3.2
Figure 3.3
Figure 3.4
Figure 3.5
Figure 3.7
Figure 3.8
Figure 3.9
Figure 3.10
Figure 3.11
Figure 3.12
Figure 3.13
Figure 4.1
Figure 4.2
Figure 4.3
Figure 4.4
Figure 4.5
Figure 4.6
Figure 4.7
Figure 4.8
Figure 4.9
Figure 4.10
Figure 4.11
Figure 4.12
Figure 4.13
Figure 5.1
Figure 5.2
Figure 5.3
Figure 5.4
Figure 5.6
Figure 5.5
Figure 5.7
Figure 5.8
Figure 5.9
Figure 6.1
Figure 6.2
Figure 6.3
Figure 6.4
Figure 6.5
Figure 6.6
Figure 6.7
Figure 6.8
Figure 6.9
Figure 6.10
Figure 7.1
Figure 7.2
Figure 7.3
Figure 7.4
Figure 7.5
Figure 7.6
Figure 7.7
Figure 7.8
Figure 7.9
Figure 7.10
Figure 7.11
Figure 7.12
Figure 8.1
Figure 8.2
Figure 8.3
Figure 8.4
Figure 8.5
Figure 8.6
Figure 8.7
Figure 8.8
Figure 8.9
Figure 8.10
Figure 8.11
Figure 8.12
Figure 8.13
Figure 8.14
Figure 9.1
Figure 9.2
Figure 9.3
Figure 9.4
Figure 9.5
Figure 9.6
Figure 9.7
Figure 9.8
Figure 10.1
Figure 10.2
Figure 10.3
Figure 10.4
Figure 11.1
Figure 11.2
Figure 11.3
Figure 11.4
Figure 11.5
Figure 11.6
Figure 13.1
Figure 13.2
Figure 14.1
Figure 14.2
Figure 14.3
Figure 14.4
Figure 14.5
Figure 14.6
Figure 14.7
Figure 15.1
Figure 15.2
Figure 15.3
Figure 15.4
Figure 15.5
Figure 15.6
Figure 15.7
Figure 15.8
Figure 15.9
Figure 15.10
Figure 15.11
Figure 15.12
Figure 15.13
Figure 16.1
Figure 16.2
Figure 16.3
Figure 16.4
Figure 16.5
Figure 16.6
Figure 16.7
Figure 16.8
Figure 17.1
Figure 17.2
Figure 17.3
Figure 18.1
Figure 18.2
Figure 18.3
Figure 18.4
Figure 18.5
Figure 18.6
Figure 18.7
Figure 19.1
Figure 19.2
Figure 19.3
Figure 19.4
Figure 19.5
Figure 19.6
Figure 19.7
Figure 19.8
Figure 19.9
Figure 19.10
List of Tables
Table 1.1
Table 1.2
Table 1.3
Table 2.1
Table 2.2
Table 2.3
Table 2.4
Table 4.1
Table 5.1
Table 6.1
Table 6.2
Table 6.3
Table 7.1
Table 7.2
Table 7.3
Table 7.4
Table 7.5
Table 7.6
Table 7.7
Table 7.8
Table 8.1
Table 8.2
Table 8.3
Table 9.1
Table 9.2
Table 11.1
Table 11.2
Table 11.3
Table 11.4
Table 11.5
Table 11.6
Table 15.1
Table 15.2
Table 16.1
Table 16.2
Table 16.3
Table 18.2
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset