skip to main content
research-article

A survey of smart data pricing: Past proposals, current plans, and future trends

Published:01 November 2013Publication History
Skip Abstract Section

Abstract

Traditionally, network operators have used simple flat-rate broadband data plans for both wired and wireless network access. But today, with the popularity of mobile devices and exponential growth of apps, videos, and clouds, service providers are gradually moving toward more sophisticated pricing schemes. This decade will therefore likely witness a major change in the ways in which network resources are managed, and the role of economics in allocating these resources. This survey reviews some of the well-known past broadband pricing proposals (both static and dynamic), including their current realizations in various consumer data plans around the world, and discusses several research problems and open questions. By exploring the benefits and challenges of pricing data, this article attempts to facilitate both the industrial and the academic communities' efforts in understanding the existing literature, recognizing new trends, and shaping an appropriate and timely research agenda.

References

  1. Al-Manthari, B., Nasser, N., and Hassanein, H. 2011. Congestion pricing in wireless cellular networks. IEEE Commun. Surv. Tutor. 13, 3, 358--371.Google ScholarGoogle ScholarCross RefCross Ref
  2. Allot MobileTrends. 2010. Global mobile broadband traffic report.Google ScholarGoogle Scholar
  3. Anania, L. and Solomon, R. J. 1997. Flat—the minimalist price. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 91--118. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Andrews, M., Özen, U., Reiman, M. I., and Wang, Q. 2013. Economic models of sponsored content in wireless networks with uncertain demand. In Proceedings of the 2nd IEEE International Workshop on Smart Data Pricing (SDP'13). IEEE, 345--350.Google ScholarGoogle Scholar
  5. Apple. 2012. Apple--the new iPad. http://www.apple.com/ipad/compare/.Google ScholarGoogle Scholar
  6. Borenstein, S., Jaske, M., and Rosenfeld, A. 2002. Dynamic pricing, advanced metering, and demand response in electricity markets. Working paper CSEM-105, Center for the Study of Energy Markets, Berkeley, CA.Google ScholarGoogle Scholar
  7. Breker, L. P. 1996. A survey of network pricing schemes. In Proceedings of the 8th Symposium on Computer Science.Google ScholarGoogle Scholar
  8. Brownlee, N. 1997. Internet pricing in practice. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 77--90. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Bubley, D. 2011. Belgian MNO tries app-specific zero rating—bad idea in my view. Disruptive Wireless. November 1, http://tinyurl.com/6urunl3.Google ScholarGoogle Scholar
  10. Buckley, S. 2012. Verizon shared data plans show up in employee training materials, still on track? Engadget. January 30.Google ScholarGoogle Scholar
  11. Carew, S. 2012. Users complain, AT&T blames data tsunami. Reuters Media File.Google ScholarGoogle Scholar
  12. Caron, S. and Kesidis, G. 2010. Incentive-based energy consumption scheduling algorithms for the smart grid. In Proceedings of the 1st IEEE International Conference on Smart Grid Communications. IEEE, Los Alamitos, CA, 391--396.Google ScholarGoogle Scholar
  13. Chan, H., Fan, P., and Cao, Z. 2005. A utility-based network selection scheme for multiple services in heterogeneous networks. In Proceedings of the International Conference on Wireless Networks, Communications and Mobile Computing: Volume 2. IEEE, 1175--1180.Google ScholarGoogle Scholar
  14. Chang, X. and Petr, D. 2001. A survey of pricing for integrated service networks. Comput. Commun. 24, 18, 1808--1818. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Charles River Associates. 2005. Impact evaluation of the California statewide pricing pilot. Tech. rep., Charles River Associates.Google ScholarGoogle Scholar
  16. Chen, B. X. 2012. Shared mobile data plans: Who benefits? New York Times. July 19, Bits Blog.Google ScholarGoogle Scholar
  17. Chen, J., Ghosh, A., Magutt, J., and Chiang, M. 2012. QAVA: Quota aware video adaptation. In Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies (CoNEXT'12). ACM, 121--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Chen, Y.-F. R. and Jana, R. 2013. SpeedGate: A smart data pricing testbed based on speed tiers. In Proceedings of the 2nd Smart Data Pricing Workshop. IEEE, 3195--3200.Google ScholarGoogle Scholar
  19. Chetty, M., Banks, R., Brush, A., Donner, J., and Grinter, R. 2012. You're capped: Understanding the effects of bandwidth caps on broadband use in the home. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12). ACM, 3021--3030. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Chetty, M., Banks, R., Harper, R., Regan, T., Sellen, A., Gkantsidis, C., Karagiannis, T., and Key, P. 2010. Who's hogging the bandwidth: The consequences of revealing the invisible in the home. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'10). ACM, 659--668. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Chetty, M., Haslem, D., Baird, A., Ofoha, U., Sumner, B., and Grinter, R. 2011. Why is my Internet slow?: Making network speeds visible. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (CHI'11). ACM, 1889--1898. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Cisco Systems. 2012a. Cisco visual networking index: Forecast and methodology, 2011--2016. May 30, http://tinyurl.com/VNI2011.Google ScholarGoogle Scholar
  23. Cisco Systems. 2012b. Cisco visual networking index: Global mobile data traffic forecast update, 2011--2016. February 14, http://tinyurl.com/VNI2012-mobile.Google ScholarGoogle Scholar
  24. Clark, D. D. 1997. Internet cost allocation and pricing. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 215--252. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Cocchi, R., Estrin, D., Shenker, S., and Zhang, L. 1991. A study of priority pricing in multiple service class networks. ACM SIGCOMM Comput. Commun. Rev. 21, 4, 123--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Cocchi, R., Shenker, S., Estrin, D., and Zhang, L. 1993. Pricing in computer networks: Motivation, formulation, and example. IEEE/ACM Trans. Networking. 1, 614--627. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Comcast. 2012. What XFINITY Internet data usage plans will Comcast be launching? http://customer.comcast.com/help-and-support/internet/data-usage-what-are-the-different-plans-launching.Google ScholarGoogle Scholar
  28. Courcoubetis, C., Stamoulis, G. D., Manolakis, C., and Kelly, F. P. 1998. An intelligent agent for optimizing QoS-for-money in priced ABR connections. Tech. rep., Institute of Computer Science--Foundation for Research and Technology Hellas and Statistical Laboratory, University of Cambridge. Preprint.Google ScholarGoogle Scholar
  29. Dash, D., Kantere, V., and Ailamaki, A. 2009. An economic model for self-tuned cloud caching. In Proceedings of the IEEE 25th International Conference on Data Engineering (ICDE'09). IEEE, Los Alamitos, CA, 1687--1693. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. DataMi. 2012. DataMi Website. http://scenic.princeton.edu/datami/.Google ScholarGoogle Scholar
  31. Delgrossi, L. and Ferrari, D. 1999. Charging schemes for reservation-based networks. Telecommun. Syst. 11, 1, 127--137.Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. D'Orazio, D. 2012. ViaSat prices satellite broadband plans, calls them Exede. TheVerge. January 10, http://www.theverge.com/2012/1/10/2694708/viasat-exede-pricing-availability-satellite-broadband-internet.Google ScholarGoogle Scholar
  33. Du, P. and Lu, N. 2011. Appliance commitment for household load scheduling. IEEE Trans. Smart Grid 2, 2, 411--419.Google ScholarGoogle ScholarCross RefCross Ref
  34. Dyaberi, J. M., Parsons, B., Pai, V. S., Kannan, K., Chen, Y.-F. R., Jana, R., Stern, D., and Varshavsky, A. 2012. Managing cellular congestion using incentives. IEEE Commun. Mag. 50, 11, 100--107.Google ScholarGoogle ScholarCross RefCross Ref
  35. El-Sayed, M., Mukhopadhyay, A., Urrutia-Valdés, C., and Zhao, Z. J. 2011. Mobile data explosion: Monetizing the opportunity through dynamic policies and QoS pipes. Bell Labs Techn. J. 16, 2, 79--100. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Electronista. 2011. Rogers intros data sharing for 6GB plans with hefty premium. February 8, http://www.electronista.com/articles/11/02/08/rogers.6gb.data.plan.gets.expensive.sharing/.Google ScholarGoogle Scholar
  37. Electronista. 2012. Verizon preps LTE femtocells, says it hits limits in 2013. March 5, http://www.electronista.com/articles/12/03/05/demand.for.mobile.data.will.outpace.build.out/.Google ScholarGoogle Scholar
  38. Ericsson. 2010. Japan's Softbank Mobile chooses Ericsson mobile broadband solution. August 2, press release.Google ScholarGoogle Scholar
  39. Ericsson. 2011. Differentiated mobile broadband. White paper, http://www.ericsson.com/res/docs/whitepapers/differentiated_mobile_broadband.pdf.Google ScholarGoogle Scholar
  40. Ezziane, Z. 2005. Charging and pricing challenges for 3G systems. IEEE Commun. Surv. Tutor. 7, 4, 58--68. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Falkner, M., Devetsikiotis, M., and Lambadaris, I. 2000. An overview of pricing concepts for broadband IP networks. IEEE Commun. Surv. Tutor. 3, 2, 2--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Faruqui, A. 2010. The ethics of dynamic pricing. Electricity J. 23, 6, 13--28.Google ScholarGoogle ScholarCross RefCross Ref
  43. Faruqui, A., Hledik, R., and Sergici, S. 2009. Piloting the smart grid. Electricity J. 22, 7, 55--69.Google ScholarGoogle ScholarCross RefCross Ref
  44. Faruqui, A. and Wood, L. 2008. Quantifying the benefits of dynamic pricing in the mass market. Tech. rep., Edison Electric Institute.Google ScholarGoogle Scholar
  45. Fisher, D. 2007. US National Science Foundation and the future Internet design. ACM SIGCOMM Comput. Comm. Rev. 37, 3, 85--87. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Fitchard, K. 2012. New Netflix iOS app capitulates to bandwidth caps. GigaOm. May 31, http://gigaom.com/mobile/new-netflix-ios-app-capitulates-to-bandwidth-caps/.Google ScholarGoogle Scholar
  47. Frakes, D. 2010. AT&T announces tethering details and new plans for iPhone, iPad. InfoWorld.Google ScholarGoogle Scholar
  48. Fried, I. 2011. The data plan of the future is available now, at least in Europe. All Things D. http://tinyurl.com/FT-shared.Google ScholarGoogle Scholar
  49. Galbraith, C. 2011. Shared data plans set to make global impact. Billing World. October 24.Google ScholarGoogle Scholar
  50. Ganesh, A., Laevens, K., and Steinberg, R. 2001. Congestion pricing and user adaptation. In Proceedings of the 20th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'01): Volume 2. IEEE, 959--965.Google ScholarGoogle Scholar
  51. Genachowski, J. 2010. New rules for an open Internet. US Federal Communications Commission. December 21, http://www.fcc.gov/blog/new-rules-open-internet.Google ScholarGoogle Scholar
  52. Gizelis, C. and Vergados, D. 2011. A survey of pricing schemes in wireless networks. IEEE Commun. Surv. Tutor. 13, 1, 126--145. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. Glass, V., Prinzivalli, J., and Stefanova, S. 2012. Persistence of the middle mile problem for rural exchanges local carriers. Smart Data Pricing Workshop Talk. http://scenic.princeton.edu/SDP2012/Talks-VictorGlass.pdf.Google ScholarGoogle Scholar
  54. Goldstein, P. 2012. AT&T's Stephenson: Content providers are asking for ‘‘toll free’ data plans. FierceWireless. http://www.fiercewireless.com/story/atts-stephenson-content-providers-are-as king-toll-free-data-plans/2012-06-01#ixzz2M466tpzz.Google ScholarGoogle Scholar
  55. Gomez-Ibanez, J. A. and Small, K. A. 1994. Road Pricing for Congestion Management: A Survey of International Practice. Transportation Research Board, Washington, DC. National Cooperative Highway Research Program.Google ScholarGoogle Scholar
  56. Gupta, A., Stahl, D., and Whinston, A. 1997. Priority pricing of integrated services networks. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 323--352. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Ha, S., Joe-Wong, C., Sen, S. and Chiang, M. 2012a. Pricing by timing: Innovating broadband data plans. In Proceedings of the SPIE OPTO Broadband Access Communication Technologies VI Conference (SPIE 8282). Paper 8282-12.Google ScholarGoogle Scholar
  58. Ha, S., Sen, S., Joe-Wong, C., Im, Y., and Chiang, M. 2012b. TUBE: Time-dependent pricing for mobile data. In Proceedings of the ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM'12). ACM, New York, NY, 247--258. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Hande, P., Chiang, M., Calderbank, R., and Zhang, J. 2010. Pricing under constraints in access networks: Revenue maximization and congestion management. In Proceedings of the IEEE INFOCOM. IEEE, 1--9. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Harshman, B. 2001. Urban road pricing acceptance. In Proceedings of the IMPRINT-EUROPE Seminar.Google ScholarGoogle Scholar
  61. Hausman, J., Kinnucan, M., and McFaddden, D. 1979. A two-level electricity demand model: Evaluation of the Connecticut time-of-day pricing test. J. Econometr. 10, 3, 263--289.Google ScholarGoogle ScholarCross RefCross Ref
  62. Hayel, Y. and Tuffin, B. 2005. A mathematical analysis of the cumulus pricing scheme. Comput. Netw. 47, 907--921. Google ScholarGoogle ScholarDigital LibraryDigital Library
  63. Hayer, J. 1993. Transportation auction: A new service concept. Master's thesis, University of Alberta. TR-93-05.Google ScholarGoogle Scholar
  64. Hendershott, T. 2006. Economics and Information Systems, Volume 1. Elsevier, Amsterdam, Chapter 2, 4--9.Google ScholarGoogle Scholar
  65. Herter, K. 2007. Residential implementation of critical-peak pricing of electricity. Energy Policy 35, 4, 2121--2130.Google ScholarGoogle ScholarCross RefCross Ref
  66. Higginbotham, S. 2010. Mobile operators want to charge based on time and apps. GigaOm. December 14.Google ScholarGoogle Scholar
  67. Holguin-Veras, J., Cetin, M., and Xia, S. 2006. A comparative analysis of US toll policy. Transport. Res. A.-Pol. 40, 10, 852--871.Google ScholarGoogle Scholar
  68. Hosanagar, K., Krishnan, R., Chuang, J., and Choudhary, V. 2005. Pricing and resource allocation in caching services with multiple levels of quality of service. Manage. Sci. 51, 12, 1844--1859. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. IBM. 2007. Ontario energy board smart price pilot final report. Tech. rep., Ontario Energy Board. IBM Global Business Services and eMeter Strategic Consulting.Google ScholarGoogle Scholar
  70. IPNet JSC. 2012. Price and rates. http://www.zaoipnet.ru/en/price/connectionservice/.Google ScholarGoogle Scholar
  71. Jiang, L., Parekh, S., and Walrand, J. 2008. Time-dependent network pricing and bandwidth trading. In Proceedings of the IEEE Network Operations and Management Symposium Workshop. IEEE, 193--200.Google ScholarGoogle Scholar
  72. Joe-Wong, C., Ha, S., and Chiang, M. 2011. Time-dependent broadband pricing: Feasibility and benefits. In Proceedings of the 31st International Conference on Distributed Computing Systems (ICDCS'11). IEEE, 288--298. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Joe-Wong, C., Sen, S., and Ha, S. 2013. Offering supplementary wireless network technologies: Adoption behavior and offloading benefits. In Proceedings of the IEEE INFOCOM. http://arxiv.org/abs/1209.5004.Google ScholarGoogle Scholar
  74. Joe-Wong, C., Sen, S., Ha, S., and Chiang, M. 2012a. Optimized day-ahead pricing for smart grids with device-specific scheduling flexibility. IEEE J. Sel. Areas Commun. 30, 6, 1075--1085.Google ScholarGoogle ScholarCross RefCross Ref
  75. Joe-Wong, C., Sen, S., Lan, T., and Chiang, M. 2012b. Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. In Proceedings of the IEEE INFOCOM. IEEE, 1206--1214.Google ScholarGoogle Scholar
  76. Kang, C. 2010. AT&T wireless scraps flat-rate Internet plan. Washington Post. June 2.Google ScholarGoogle Scholar
  77. Keall, C. 2011. TelstraClear calls limitless weekend ‘very successful,’ InternetNZ ‘disastrous.’ National Business Review. December 5.Google ScholarGoogle Scholar
  78. Kelly, F. 1994. On tariffs, policing, and admissions control for multiservice networks. Oper. Res. Lett. 15, 1--9. Google ScholarGoogle ScholarDigital LibraryDigital Library
  79. Kelly, F., Maulloo, A. K., and Tan, D. H. K. 1998. Rate control for communication networks: Shadow prices, proportional fairness, and stability. J. Oper. Res. Soc. 49, 237--252.Google ScholarGoogle ScholarCross RefCross Ref
  80. Key, P. 2010. Comcast, Level 3, Netflix, the FCC: Busy week for neutrality debate. Philadelphia Business Journal. December 1.Google ScholarGoogle Scholar
  81. Klopfenstein, B. C. 2009. Internet economics: An annotated bibliography. J. Media Econ. 11, 1, 33--48.Google ScholarGoogle ScholarCross RefCross Ref
  82. Kwang, K. 2011. SingTel unveils priority mobile broadband access. June 13, http://www.zdnetasia.com/ singtel-unveils-priority-mobile-broadband-access-62300719.htm.Google ScholarGoogle Scholar
  83. Lam, K. R., Chiu, D. M., and Lui, J. C. S. 2007. On the access pricing and network scaling issues of wireless mesh networks. IEEE Trans. Comput. 56, 140--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. Laoutaris, N., Sirivianos, M., Yang, X., and Rodriguez, P. 2011. Inter-datacenter bulk transfers with netstitcher. ACM SIGCOMM Comput. Comm. Rev. 41, 4, 74--85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. Lee, D., Mo, J., Walrand, J., and Park, J. 2011. A token pricing scheme for Internet services. In Proceedings of the 7th International Conference on Internet Charging and QoS Technologies: Economics of the Converged, Internet-Based Networks (ICQT'11). 26--37. Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. Lewis, P. H. 1996. An “all you can eat” price is clogging Internet access. New York Times. December 17, p. A1.Google ScholarGoogle Scholar
  87. Li, N., Chen, L., and Low, S. 2011. Optimal demand response based on utility maximization in power networks. In Proceedings of the IEEE Power and Energy Society General Meeting. IEEE, Los Alamitos, CA, 1--8.Google ScholarGoogle Scholar
  88. Li, S., Huang, J., and Li, S. Y. R. 2009. Revenue maximization for communication networks with usage-based pricing. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM'09). IEEE, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  89. Locktime Software. 2012. NetLimiter Website. http://www.netlimiter.com/.Google ScholarGoogle Scholar
  90. Loiseau, P., Schwartz, G., Musacchio, J., and Amin, S. 2011. Incentive schemes for Internet congestion management: Raffles versus time-of-day pricing. In Proceedings of the 49th Annual Allerton Conference on Communication, Control, and Computing. IEEE, 103--110.Google ScholarGoogle Scholar
  91. MacKie-Mason, J. and Varian, H. 1995. Pricing the Internet. In B. Kahin and J. Keller, Eds., Public Access to the Internet. Prentice Hall, Englewood Cliffs, NJ. Google ScholarGoogle ScholarDigital LibraryDigital Library
  92. MacKie-Mason, J. K., Murphy, L., and Murphy, J. 1997. Responsive pricing in the Internet. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 279--303. Google ScholarGoogle ScholarDigital LibraryDigital Library
  93. Marbach, P. 2004. Analysis of a static pricing scheme for priority services. IEEE/ACM Trans. Netw. 12, 312--325. Google ScholarGoogle ScholarDigital LibraryDigital Library
  94. Marcon, M., Santos, N., Gummadi, K. P., Laoutaris, N., Rodriguez, P., and Vahdat, A. 2012. NetEx: Cost-effective bulk data transfers for cloud computing. Tech. rep., Max Planck Institute for Software Systems.Google ScholarGoogle Scholar
  95. Marshall, J. 1996. Economics, not engineering, will unclog the Internet. San Francisco Chronicle. November 4.Google ScholarGoogle Scholar
  96. Matsukawa, I. 2001. Household response to optional peak-load pricing of electricity. J. Regul. Econ. 20, 3, 249--267.Google ScholarGoogle ScholarCross RefCross Ref
  97. May, A. 1992. Road pricing: An international perspective. Transportation 19, 4, 313--333.Google ScholarGoogle ScholarCross RefCross Ref
  98. May, A. and Milne, D. 2000. Effects of alternative road pricing systems on network performance. Transport. Res. A.-Pol. 34, 6, 407--436.Google ScholarGoogle Scholar
  99. McKinnon, A. 2006. A review of European truck tolling schemes and assessment of their possible impact on logistics systems. Int. J. Logist. Res. Appl. 9, 3, 191--205.Google ScholarGoogle ScholarCross RefCross Ref
  100. McKnight, L. W. and Bailey, J. P. 1997. An introduction to Internet economics. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA, 91--118. Google ScholarGoogle ScholarDigital LibraryDigital Library
  101. Mohsenian-Rad, A. H. and Leon-Garcia, A. 2010. Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans. Smart Grid 1, 2, 120--133.Google ScholarGoogle ScholarCross RefCross Ref
  102. Mohsenian-Rad, A. H., Wong, V. W. S., Jatskevich, J., and Schober, R. 2010. Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid. In Proceedings of the IEEE Conference on Innovative Smart Grid Technologies. IEEE, Los Alamitos, CA, 1--6.Google ScholarGoogle Scholar
  103. Morgan, M. 2011. Pricing schemes key in LTE future. Telecomasia.net. September 12, http://www. telecomasia.net/content/pricing-schemes-key-lte-future.Google ScholarGoogle Scholar
  104. Muller, R. 2012. Satellite broadband pricing comparison. January 25, http://mybroadband.co.za/news/ broadband/.Google ScholarGoogle Scholar
  105. Murphy, J. and Murphy, L. 1994. Bandwidth allocation by pricing in ATM networks. IFIP Trans. C. C-24, 333--351. Google ScholarGoogle ScholarDigital LibraryDigital Library
  106. Murphy, J., Murphy, L., and Posner, E. C. 1994. Distributed pricing for embedded ATM networks. In Proceedings of the International Teletraffic Conference. Elsevier, 1053--1063.Google ScholarGoogle Scholar
  107. Musacchio, J. and Walrand, J. 2006. WiFi access point pricing as a dynamic game. IEEE/ACM Trans. Netw. 14, 289--301. Google ScholarGoogle ScholarDigital LibraryDigital Library
  108. Nash, J. F. 1950. The bargaining problem. Econometrica 18, 2, 155--162.Google ScholarGoogle ScholarCross RefCross Ref
  109. Neely, M., Modiano, E., and Li, C. 2005. Fairness and optimal stochastic control for heterogeneous networks. In Proceedings of the IEEE INFOCOM: Volume 3. IEEE, Los Alamitos, CA, 1723--1734.Google ScholarGoogle Scholar
  110. Newman, J. 2011. Netflix has bandwidth cap sufferers covered. PC World. June 23, http://www.pcworld.com/article/230982/Netflix_Has_Bandwidth_Cap_Sufferers_Covered.html.Google ScholarGoogle Scholar
  111. NetEcon. 2013. Workshop on the economics of networks, systems and computation. http://netecon.seas.harvard.edu/.Google ScholarGoogle Scholar
  112. Nicholson, W. and Snyder, C. 2008. Microeconomic Theory (10th ed.). SouthWestern CENGAGE Learning, Mason, OH.Google ScholarGoogle Scholar
  113. Niyato, D. and Hossain, E. 2008. Competitive pricing in heterogeneous wireless access networks: Issues and approaches. IEEE Netw. 22, 6, 4--11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  114. Odlyzko, A. 1999. Paris metro pricing for the Internet. In Proceedings of the 1st ACM Conference on Electronic Commerce. ACM, New York, 140--147. Google ScholarGoogle ScholarDigital LibraryDigital Library
  115. Odlyzko, A. 2001. Internet pricing and the history of communications. Comput. Netw. 36, 5, 493--517.Google ScholarGoogle ScholarCross RefCross Ref
  116. Odlyzko, A., Arnaud, B. S., Stallman, E., and Weinberg, M. 2012. Know your limits: Considering the role of data caps and usage based billing in Internet access service. Public Knowledge.Google ScholarGoogle Scholar
  117. Owoseje, T. 2011. Orange refreshes Panther tariff with Swapables benefits. Mobile Magazine. September 7, http://tinyurl.com/Swapables.Google ScholarGoogle Scholar
  118. Parker, A. 2010. O2 scraps unlimited data for smartphones. Financial Times.Google ScholarGoogle Scholar
  119. Parris, C. and Ferrari, D. 1992. A resource based pricing policy for real-time channels in a packet-switching network. Tech. rep. TR-92-016. Tenet Group, ICSI, University of California, Berkeley, CA.Google ScholarGoogle Scholar
  120. Parris, C., Keshav, S., and Ferrari, D. 1992. A framework for the study of pricing in integrated networks. Tech. rep. TR-92-016. Tenet Group, ICSI, University of California, Berkeley, CA.Google ScholarGoogle Scholar
  121. Paschalidis, I. C. and Tsitsikilis, J. N. 1998. Congestion-dependent pricing of network services. IEEE/ACM Trans. Netw. 8, 171--184. Google ScholarGoogle ScholarDigital LibraryDigital Library
  122. Poole, R. and Orski, C. K. 2003. HOT networks: A new plan for congestion relief and better transit. Tech. rep., Reason Foundation. February.Google ScholarGoogle Scholar
  123. Princeton EDGE Lab. 2012. DataWiz Website. http://scenic.princeton.edu/datawiz/.Google ScholarGoogle Scholar
  124. Reichl, P. 2010. From charging for quality of service to charging for quality of experience. Ann. Telecommun. 65, 3, 189--199.Google ScholarGoogle ScholarCross RefCross Ref
  125. Ren, S., Park, J., and van der Schaar, M. 2013. Entry and spectrum sharing scheme selection in femtocell communications markets. IEEE/ACM Trans. Netw. 21, 1, 218--232. Google ScholarGoogle ScholarDigital LibraryDigital Library
  126. Richards, M., Gilliam, C., and Larkinson, J. 1996. The London congestion charging research programme. 1. The progamme in overview. Traffic Eng. Control 37, 2, 66--71.Google ScholarGoogle Scholar
  127. Ricker, T. 2010. AT&T making tourists even more annoying with free Times Square WiFi. Engadget. http://tinyurl.com/29quo58.Google ScholarGoogle Scholar
  128. Rigney, C., Willens, S., Rubens, A., and Simpson, W. 2000. Remote Authentication Dial In User Service (RADIUS). RFC 2865 (Draft Standard). Updated by RFCs 2868, 3575, 5080. Google ScholarGoogle ScholarDigital LibraryDigital Library
  129. Roozbehani, M., Dahleh, M., and Mitter, S. 2010. Dynamic pricing and stabilization of supply and demand in modern electric power grids. In Proceedings of the 1st IEEE International Conference on Smart Grid Communications. IEEE, 543--548.Google ScholarGoogle Scholar
  130. Rural Broadband. 2012. Avanti Hylas 1 satellite broadband services. http://www.ruralbroadband.co.uk/ avanti-hylas-1-8mbps.html.Google ScholarGoogle Scholar
  131. Sachson, T. 2011. Subsidized data delivery via toll-free apps. eComm 2011.Google ScholarGoogle Scholar
  132. Samadi, P., Mohsenian-Rad, A., Schober, R., Wong, V. W. S., and Jatskevich, J. 2010. Optimal real-time pricing algorithm based on utility maximization for smart grid. In Proceedings of the 1st IEEE International Conference on Smart Grid Communications. IEEE, 415--420.Google ScholarGoogle Scholar
  133. Saraydar, C., Mandayam, N., and Goodman, D. 2002. Efficient power control via pricing in wireless data networks. IEEE Trans. Commun. 50, 2, 291--303.Google ScholarGoogle ScholarCross RefCross Ref
  134. Sarkar, M. 1997. Internet pricing: A regulatory imperative. In L. W. McKnight and J. P. Bailey, Eds., Internet Economics. MIT Press, Cambridge, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  135. Schatz, A. and Ante, S. E. 2010. FCC chief backs usage-based broadband pricing. Wall Street Journal. December 2.Google ScholarGoogle Scholar
  136. Segall, L. 2011. Verizon ends unlimited data plan. CNN Money. July 6.Google ScholarGoogle Scholar
  137. Semret, N., Liao, R. R.-F., Campbell, A. T., and Lazar, A. 2000. Pricing, provisioning and peering: Dynamic markets for differentiated Internet services and implications for network interconnections. IEEE J. Sel. Areas Commun. 18, 2499--2513. Google ScholarGoogle ScholarDigital LibraryDigital Library
  138. Sen, S. 2011. Bare-knuckled wireless. Business Today. March 10.Google ScholarGoogle Scholar
  139. Sen, S., Joe-Wong, C., and Ha, S. 2012a. The economics of shared data plans. In Proceedings of the 22nd Annual Workshop on Information Technologies and Systems (WITS'12).Google ScholarGoogle Scholar
  140. Sen, S., Joe-Wong, C., Ha, S., Bawa, J., and Chiang, M. 2013. When the price is right: Enabling time-dependent pricing of mobile data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'13). ACM, New York, 2477--2486. Google ScholarGoogle ScholarDigital LibraryDigital Library
  141. Sen, S., Joe-Wong, C., Ha, S., and Chiang, M. 2012b. Incentivizing time-shifting of data: A survey of time-dependent pricing for Internet access. IEEE Commun. Mag. 50, 11, 91--99.Google ScholarGoogle ScholarCross RefCross Ref
  142. Sephton, J. 2011a. The changing pricing model for mobile content. Strategy Analytics. November 24, http://tinyurl.com/ContentPricing.Google ScholarGoogle Scholar
  143. Sephton, J. 2011b. Spain—New Orange Delfin price plan. Strategy Analytics. July 13, http://tinyurl.com/ OrangeSpain.Google ScholarGoogle Scholar
  144. Sephton, J. 2011c. Trialling mobile data—a new trend for mobile plans? Strategy Analytics. October 28, http://tinyurl.com/mobiletrials.Google ScholarGoogle Scholar
  145. Shakkotai, S., Srikant, R., Ozdaglar, A., and Acemoglu, D. 2008. The price of simplicity. IEEE J. Sel. Areas Commun. 26, 7, 1269--1276. Google ScholarGoogle ScholarDigital LibraryDigital Library
  146. Shen, H. and Basar, T. 2007. Optimal nonlinear pricing for a monopolistic network service provider with complete and incomplete information. IEEE J. Sel. Areas Commun. 25, 1216--1223. Google ScholarGoogle ScholarDigital LibraryDigital Library
  147. Sheng, M.-J., Joe-Wong, C., Ha, S., Wong, F. M. F., and Sen, S. 2013. Smart data pricing: Lessons from trial planning. In Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, Washington, DC, 375--380.Google ScholarGoogle Scholar
  148. Shenker, S., Clark, D., Estrin, D., and Herzog, S. 1996. Pricing in computer networks: Reshaping the research agenda. Telecommun. Policy 20, 3, 183--201.Google ScholarGoogle ScholarCross RefCross Ref
  149. Shetty, N., Parekh, S., and Walrand, J. 2009. Economics of femtocells. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM'09). IEEE, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  150. Smart Data Pricing Forum. 2012. http://scenic.princeton.edu/SDP2012.Google ScholarGoogle Scholar
  151. Songhurst, D. 1999. Charging Communication Networks: FromTheory to Practice. Elsevier. Google ScholarGoogle ScholarDigital LibraryDigital Library
  152. Sun, J. and Modiano, E. 2006. Channel allocation using pricing in satellite networks. In Proceedings of the 40th Annual Conference on Information Sciences and Systems. IEEE, 182--187.Google ScholarGoogle Scholar
  153. Svitak, A. 2012. Demand for bandwidth drives commercial Satcom. Aviation Week. January 30.Google ScholarGoogle Scholar
  154. Taylor, T. 2000. Megaco errata. RFC 2886 (Historic). Obsoleted by RFC 3015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  155. Teitell, B. 2012. Cellphone overcharges putting a strain on many families. Boston Globe. September 22.Google ScholarGoogle Scholar
  156. Telecompaper. 2010. Mobinil offers time-based mobile data plans. July 19, http://www.telecompaper.com/ news/mobinil-offers-timebased-mobile-data-plans.Google ScholarGoogle Scholar
  157. The Economist. 2009. The mother of invention: Network operators in the poor world are cutting costs and increasing access in innovative ways. Special report, September 24.Google ScholarGoogle Scholar
  158. U.S. Energy Information Administration. 2012. Wholesale market data. http://www.eia.gov/electricity/wholesale/.Google ScholarGoogle Scholar
  159. U.S. Office of Highway Policy Information. 2011. Toll facilities in the United States. Publication no. FHWA-PL-11-032.Google ScholarGoogle Scholar
  160. Varaiya, P. 1999. Pricing and provisioning of quality-differentiated services. In Proceedings of the Information Theory and Networking Workshop. IEEE, 38.Google ScholarGoogle ScholarCross RefCross Ref
  161. Vardy, M. 2011. Telus Tuneage: Now powered by Rdio. The Next Web. August 3, http://thenextweb.com/ca/ 2011/08/03/telus-tuneage-now-powered-by-rdio/.Google ScholarGoogle Scholar
  162. Vytelingum, P., Ramchurn, S. D., Voice, T. D., Rogers, A., and Jennings, N. R. 2010. Trading agents for the smart electricity grid. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1. International Foundation for Autonomous Agents and Multiagent Systems, 897--904. Google ScholarGoogle ScholarDigital LibraryDigital Library
  163. Wagner, S., Van den Berg, E., Giacopelli, J., Ghetie, A., Burns, J., Tauil, M., Sen, S., Wang, M., Chiang, M., Lan, T., Laddaga, R., Robertson, P., and Manghwani, P. 2012. Autonomous, collaborative control for resilient cyber defense (ACCORD). In Proceedings of the IEEE 6th International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW'12). IEEE Google ScholarGoogle ScholarDigital LibraryDigital Library
  164. Wahlmueller, S., Zwickl, P., and Reichl, P. 2012. Pricing and regulating quality of experience. In Proceedings of the 8th EURO-NF Conference on Next Generation Internet. IEEE, Washington, DC, 57--64.Google ScholarGoogle Scholar
  165. Walrand, J. 2008. Economic models of communication networks. In Z. Liu and C. H. Xia, Eds., Performance Modeling and Engineering. Springer, New York, Chapter 3, 57--90.Google ScholarGoogle Scholar
  166. Wells, J. and Haas, D. 2004. Electricity Markets: Consumers Could Benefit from Demand Programs, but Challenges Remain. DIANE Publishing, Darby, PA.Google ScholarGoogle Scholar
  167. W-PIN. 2012. W-PIN: The first workshop on pricing and incentives in networks. http://www.eurecom.fr/~loiseau/W-PIN2012/.Google ScholarGoogle Scholar
  168. Wolak, F. 2006. Residential customer response to real-time pricing: The Anaheim critical-peak pricing experiment. Tech. rep., Stanford University. http://www.stanford.edu/wolak.Google ScholarGoogle Scholar
  169. Yaïche, H., Mazumdar, R. R., and Rosenberg, C. 2000. A game theoretic framework for bandwidth allocation and pricing in broadband networks. IEEE/ACM Trans. Netw. 8, 667--678. Google ScholarGoogle ScholarDigital LibraryDigital Library
  170. Yoo, C. S. 2009. Network neutrality, consumers, and innovation. U. Chi. Legal F. 25, 179. University of Pennsylvania Law School, Public Law research paper no. 08-40.Google ScholarGoogle Scholar

Index Terms

  1. A survey of smart data pricing: Past proposals, current plans, and future trends

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image ACM Computing Surveys
          ACM Computing Surveys  Volume 46, Issue 2
          November 2013
          483 pages
          ISSN:0360-0300
          EISSN:1557-7341
          DOI:10.1145/2543581
          Issue’s Table of Contents

          Copyright © 2013 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 November 2013
          • Accepted: 1 February 2013
          • Revised: 1 October 2012
          • Received: 1 February 2012
          Published in csur Volume 46, Issue 2

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader