Abstract
We describe a marketplace for content distribution, specifically stored-video streaming, involving both edge cloud (fog) and remote cloud computing and storage resources. Three different types of participants are considered: providers that are affiliated with the remote cloud, those that are affiliated with the ISP/edge, and those affiliated with neither. For a simple model, we explore the existence of a Nash equilibrium. Furthermore, we formulate a leader-follower game involving a market regulator maximizing a social welfare and study its Stackelberg equilibrium. For a market regulator seeking to limit prices charged by an edge-cloud entrant, we show an interesting trade-off between “moderate” edge-cloud prices and existence of follower (Nash) equilibrium.
This research was supported by NSF CNS grant 1526133.
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Notes
- 1.
The recent actions of the American FCC to revoke network neutrality regulations, which some states are litigating against [14], is just the recent salvo of the American debate. Europe generally remains strongly in favor of network neutrality.
- 2.
ISPs have pruned ads from delivered content arguing that they were not requested by the end-users [16], while CPs argued that (otherwise free) content or services are monetized through embedded advertisements the receipt of which end-users implicitly request.
- 3.
Here, ISPs that service end-users.
- 4.
Netflix now uses AWS primarily for client login and content search/selection. To stream selected video, Netflix now employs its own CDN.
- 5.
Note that CDNs like Akamai and Amazon CloudFront provide datacenter presence nearer to the network edge.
- 6.
This transformation may be due to the ease through which media from legitimate sources can be purchased online, new and very popular content only available as streamed online, and the presence of trojans in pirated media.
- 7.
Note that LRU approximates as the least popular object the current LRU one residing in the cache. Evicting the least popular object is an element of the optimal noncausal (offline) caching policy, e.g., [19].
- 8.
Again, Netflix has developed its own CDN and currently only uses public cloud facilities for its user interface. So, compared to this type of provider, it would have reduced remote cloud and networking costs, and may not need edge-cloud facilities depending on how extensive its CDN is, but would have significant operating and amortized capital expenditures associated with its CDN.
- 9.
More complex models of inertia involve hysteresis in dynamic response to competitive prices wherein demand as a function of price is larger when prices increase compared to when prices decrease.
- 10.
Numerical results are qualitatively the same for much larger values of X, e.g., \(X=10^6\).
- 11.
Note that if \(\gamma _2=1=\gamma _3\), the side payments among all CPs cancel out in the expression for \(\varOmega \).
References
M. Adler, R.K. Sitaraman, and H. Venkataraman. Algorithms for optimizing the bandwidth cost of content delivery. Computer Networks, Dec. 2011.
P. Agyapong and M. Sirbu. Economic incentives in content-centric networking: Implications for protocol design and public policy. In Proc. 39th Telecommunications Policy Research Conference, Arlington, VA, 2011.
Amazon CloudFront Pricing. https://aws.amazon.com/cloudfront/pricing/?p=ps.
AWS Lambda Pricing. https://aws.amazon.com/lambda/pricing.
T. Basar and G. J. Olsder. Dynamic noncooperative game theory, 2nd Ed. Academic Press, 1995.
M.R. Baye, G. Tian, and J. Zhou. Characterizations of the existence of equilibria in games with discontinuous and non-quasiconcave payoffs. Review of Economic Studies, 60(4):935–948, 1993.
T. Berners-Lee. Net Neutrality: This is serious. TimBL’s blog, http://dig.csail.mit.edu/breadcrumbs/node/144, June 2006.
L.C. Drazek. Intensity estimation for Poisson processes. MS Thesis, School of Mathematics, University of Leeds, https://www1.maths.leeds.ac.uk/~voss/projects/2012-Poisson/Drazek.pdf, Sept. 2013.
N. Economides and B. Hermalin. The strategic use of download limits by a monopoly platform. Working Paper 13-26, www.NETinst.org, Dec. 2013.
R. Fagin. Asymptotic approximation of the move-to-front search cost distribution and least-recently-used caching fault probabilities, 1977.
D. Fudenberg and J. Tirole. Game Theory. MIT Press, 1991.
R. Hahn and S. Wallsten. The economics of net neutrality. Economists’ Voice, The Berkeley Economic Press, 3(6):1–7, 2006.
P. Hande, M. Chiang, R. Calderbank, and S. Rangan. Network pricing and rate allocation with content provider participation. In Proc. IEEE INFOCOM, 2009.
C. Herreria. 22 States Sue FCC For Axing Net Neutrality. https://www.huffingtonpost.com/entry/attorneys-general-sue-fcc-net-neutrality_us_5a5e84c3e4b00a7f171b815a, Jan. 16, 2018.
R. Johari, G.Y. Weintraub, and B. Van Roy. Investment and market structure in industries with congestion. Operations Research, 58(5), 2010.
D. Kerr. France orders Internet provider to stop blocking Google ads. http://news.cnet.com/8301-1023_3-57562638-93/france-orders-internet-provider-to-stop-blocking-google-ads, Jan. 7, 2013.
G. Kesidis. A simple two-sided market model with side-payments and ISP service classes. In Proc. IEEE INFOCOM Workshop on Smart Data Pricing, Toronto, May 2014.
G. Kesidis, N. Nasiriani, B. Urgaonkar, and C. Wang. Neutrality in Future Public Clouds: Implications and Challenges. In Proc. USENIX HotCloud, 2016.
D.E. Knuth. An analysis of optimal caching. J. Algorithms, 6:181–199, 1985.
F. Kocak, G. Kesidis, and S. Fdida. Network neutrality with content caching and its effect on access pricing. In Smart Data Pricing. S. Sen and M. Chiang (Eds.), Wiley, 2013.
R.T.B. Ma, D.-M. Chiu, J.C.S. Lui, V. Misra, and D. Rubenstein. Interconnecting eyeballs to content: A Shapley value perspective on ISP peering and settlement. In Proc. Int’l Workshop on Economics of Networked Systems, pages 61–66, 2008.
R.T.B. Ma, D.-M. Chiu, J.C.S. Lui, V. Misra, and D. Rubenstein. On cooperative settlement between content, transit and eyeball Internet service providers. In Proc. ACM CoNEXT, 2008.
B. Maggs. Presentation on CDNs (Akamai) at RESCOM, Porquerolles, France: http://blog.lrem.net/2013/05/23/rescom-2013-bruce-maggs/, May 2013.
J. Musacchio, G. Schwartz, and J. Walrand. A two-sided market analysis of provider investment incentives with an application to the net-neutrality issue. Review of Network Economics, 8(1), 2009.
P.J. Reny. Nash equilibrium in discontinuous games. Econ. Theory, 61:553–569, 2016.
C.U. Saraydar, N.B. Mandayam, and D.J. Goodman. Efficient power control via pricing in wireless data networks. IEEE Transactions on Communications, 50(2):291–303, Feb. 2002.
D. Sohn. Neutrality and Caching. https://cdt.org/blog/neutrality-and-caching/, Dec. 16, 2008.
G.S. Watson. Estimating the intensity of a Poisson process, May 1976.
D. Weller and B. Woodcock. Bandwidth bottleneck: The hardware at the heart of the Internet is not fast enough. IEEE Spectrum, Jan. 2013.
T. Wu. Network neutrality, broadband discrimination. Journal of Telecommunications and High Technology Law, 2:141, 2003.
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Hu, X., Kesidis, G., Heidarpour, B., Dziong, Z. (2019). Media Delivery Competition with Edge Cloud, Remote Cloud and Networking. In: Walrand, J., Zhu, Q., Hayel, Y., Jimenez, T. (eds) Network Games, Control, and Optimization. Static & Dynamic Game Theory: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-10880-9_5
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