Title :
ISP business models in caching
Author :
Kunsemoller, Jorn ; Nan Zhang ; Soares, Joao
Author_Institution :
Grad. Program Automatisms, Univ. of Paderborn, Paderborn, Germany
Abstract :
Internet traffic volume is increasing and as a consequence, Internet content delivery is facing scalability issues. Different types of caching solutions improve this scalability. The incentives of different stakeholders to pay for the caching 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. Thus, this work first identifies the different business models of ISPs in a caching environment and utilizes game theory to evaluate these possible business models. Although ISP caching is potentially unstable, it turns out to be Pareto optimal at the right pricing, which encourages cooperation between content providers and ISPs.
Keywords :
Internet; cache storage; game theory; telecommunication traffic; ISP business models; ISP caching; Internet content delivery; Internet service providers; Internet traffic volume; Pareto optimal; cache deployment; game theory; scalability issues; Bandwidth; Business; Equations; Internet; Mathematical model; Pareto optimization; Servers;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-5303-8
Electronic_ISBN :
978-1-4673-5302-1
DOI :
10.1109/ICDEW.2013.6547463