A game-theoretic evaluation of an ISP business model in caching
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Internet traffic volume is increasing and this causes scalability issues in content delivery. This problem can be addressed with different types of caching solutions. The incentives of different stakeholders to pay for these solutions are not known. However, it has been identified that Internet service providers (ISPs) need to be involved in the process of cache deployment due to their ownership of the network. This work evaluates a new business model where ISPs charge content providers (CPs) for a caching service because CPs benefit from more efficient content distribution. We provide conditions for sustainable paid in-network caching and their numerical evaluation in order to aid strategic decision-making by CPs, ISPs, and Cloud storage providers (CSPs). Although ISP caching as a paid service may not be an equilibrium, it turns out to be Pareto optimal at the right pricing. This encourages cooperation between CPs and ISPs. CSPs may choose cache friendly physical locations for their facilities in order to provide the necessary capacity to the ISPs. However, the required amounts are in all likelihood too small to be an incentive for the CSPs. ISP caching as a paid service can be an equilibrium when future benefits are considered and when the ISPs terminate caching-related improvements of service quality for clients who do not pay for caching.
KeywordsCaching Business model Cloud storage Content distribution
- Akamai (2015). Aura licensed cdn (lcdn). https://www.akamai.com/us/en/solutions/products/network-operator/. Accessed on Dec 1st 2015.
- Akamai (2015). Customer stories: Mtv networks. https://www.akamai.com/us/en/our-customers/customer-stories-mtv-networks.jsp. Accessed Dec 1st 2015.
- Akamai (2015). Peering networks detailed view. http://www.peeringdb.com/view.php?asn=20940, Accessed Dec 1st 2015.
- AT&T (2015). Content delivery and digital media services. http://www.business.att.com/enterprise/Portfolio/content-delivery/. Accessed Feb 16th 2015.
- AWS. (2015). Amazon s3 pricing. http://aws.amazon.com/s3/pricing/. Accessed on June 29th 2015.
- Berg, K., & Kitti, M. (2014). Equilibrium paths in discounted supergames. http://econpapers.repec.org/paper/tkkdpaper/dp96.htm. Work in progress.
- Chen, Y., Katz, R.H., & Kubiatowicz, J. (2002). Dynamic replica placement for scalable content delivery. In Druschel, P., Kaashoek, F., & Rowstron, A. (Eds.) Peer-to-Peer Systems, (Vol. 2429 pp. 306–318). Berlin: Springer. http://link.springer.com/chapter/10.1007.
- Cisco (2014). Cisco global cloud index: Forecast and methodology, 2013–2018. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.pdf. Accessed on June 29th 2015.
- Cisco (2015). Cisco visual networking index: Forecast and methodology, 2014–2019. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ip-ngn-ip-next-generation-network/white_paper_c11-481360.pdf. Accessed on June 29th 2015.
- Comcast: Plans & pricing (2015). http://business.comcast.com/internet/business-internet/plans-pricing.
- Costa-Requena, J., Kimmerlin, M., Manner, J., & Kantola, R. (2014). Sdn optimized caching in lte mobile networks. In 2014 International Conference on Information and Communication Technology Convergence (pp. 128–132). South Korea: Busan.Google Scholar
- Faratin, P. (2007). Economics of overlay networks: An industrial organization perspective on network economics. In Proceedings of the Joint Workshop on The Economics of Networked Systems and Incentive Based Computing (NetEcon+IBC), in conjuction with ACM Conference on Electronic Commerce (EC’07).Google Scholar
- Faratin, P., Clark, D., Bauer, S., & Lehr, W. (2008). The growing complexity of internet interconnection. Communications & Strategies, 72, 51–71.Google Scholar
- Fitchard, K (2012). Forget the cdn players, netflix is caching its own video. http://gigaom.com/video/forget-the-cdn-players-netflix-is-caching-its-own-video/.
- Fudenberg, D., & Tirole, J. (1991). Game Theory: MIT Press.Google Scholar
- Google (2015). Google caching overview. https://peering.google.com/about/ggc.html. Accessed on Feb 16th 2015.
- Grove, N., Agic, D., & Sedlmeir, J. (2013). Reporting policies of isps: Do general terms and conditions (gtcs) match with the reality?. In TPRC 41: The 41st Research Conference on Communication, Information and Internet Policy.Google Scholar
- Hamilton, J. (2010). Cloud computing economies of scale. http://channel9.msdn.com/events/MIX/MIX10/EX01/. MIX’10 talk.
- Jiang, W., Zhang-Shen, R., Rexford, J., & Chiang, M. (2009). Cooperative content distribution and traffic engineering in an isp network. ACM SIGMETRICS Performance Evaluation Review - SIGMETRICS ’09 pp. 239–250. doi: 10.1145/1555349.1555377.
- Khare, V., & Zhang, B. (2011). Making cdn and isp routings symbiotic. In Proceedings of the 2011 31st International Conference on Distributed Computing Systems, ICDCS ’11. 869–878. IEEE Computer Society, Washington, DC, USA.Google Scholar
- Kimmerlin, M., Costa-requena, J., & Manner, J. (2014). Caching using software-defined networking in lte networks. In Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems.Google Scholar
- Künsemöller, J., Zhang, N., & Soares, J. (2013). Isp business models in caching. In Proceedings of the 29th International Conference on Data Engineering, Workshops (ICDEW 2013) (pp. 279–285).Google Scholar
- Level3 (2010). News archive: Level3 releases statement to clarify issues in comcast/level3 interconnection dispute. http://news.level3.com/index.php?s=23600&item=65047. Accessed Dec 1st 2015.
- Netflix (2015). Netflix open connect content delivery for isps. https://openconnect.itp.netflix.com/deliveryOptions/index.html. Accessed Dec 1st 2015.
- Norton, W.B. (2010). Internet transit prices - historical and projected http://drpeering.net/white-papers/Internet-Transit-Pricing-Historical-And-Projected.php.
- Norton, W.B. (2014). The 2014 Internet Peering Playbook: Connecting to the Core of the Internet. DrPeering Press.Google Scholar
- Pardalos, P., Migdalas, A., & Pitsoulis, L. (2008). Pareto Optimality, Game Theory and Equilibria. Springer Optimization and Its Applications: Springer.Google Scholar
- Peterson, L., & Davie, B. (2014). Rfc 7336: Framework for content distribution network interconnection (cdni). http://tools.ietf.org/html/rfc7336.
- Pham, T.M. (2015). Analysis of isp caching in information-centric networks. In Proceedings of the IEEE RIVF International Conference on Computing Communication Technologies - Research, Innovation, and Vision for the Future (RIVF). doi: 10.1109/RIVF.2015.7049891 (pp. 151–156).
- Psaras, I., Chai, W., & Pavlou, G. (2012). Probabilistic in-network caching for information-centric networks. In Proceedings of the second ACM SIGCOMM workshop on Information-Centric networking.Google Scholar
- Rayburn, D. (2015). The state of the cdn market: Video pricing, contract, volume and market sizing trends. www.cdnpricing.com.
- Soares, J., Carapinha, J., Melo, M., Monteiro, R., & Sargento, S. (2012). Resource allocation in the network operator’s cloud: A virtualization approach Computers and Communications (ISCC), 2012 IEEE Symposium on, pp. 000,800–000, 805.Google Scholar
- Telefonica (2014). Akamai and telefnica enter into global content delivery alliance. https://www.globalsolutions.telefonica.com/en/news/2014/03/25/telefonica-and-akamai/. Accessed Dec 1st 2015.
- der Veen, V. (2011). Orange and cogent fight over traffic management before french competition watchdog. http://www.futureofcopyright.com/home/blog-post/2011/09/08/orange-and-cogent-fight-over-traffic-management-before-french-competition-watchdog.html.
- Wulf, J., Zarnekow, R., Hau, T., & Brenner, W. (2010). Carrier activities in the cdn market - an exploratory analysis and strategic implications. In 2010 14th International Conference on Intelligence in Next Generation Networks. doi: 10.1109/ICIN.2010.5640943 (pp. 1–6).