Joint caching and pricing strategies for information centric networks

Mohammad Hajimirsadeghi, Narayan B. Mandayam, Alex Reznik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

We evaluate joint caching and pricing strategies among access networks, transit networks and content providers in an Information Centric Network (ICN). Specifically, we develop game theoretic models to study the interaction between the caching and pricing strategies among the above entities in the ICN. We first study static Nash strategies under various conditions and observe that the ICNs always choose 0-1 (all or nothing) caching strategies depending on the relative caching costs and prices at the transit ICN. We then use the insights gained to design dynamic pricing and caching strategies using a repeated game formulation. Using a model where the cost of caching changes as a function of the state of the cache, we study joint caching and pricing strategies for the access networks, transit networks and content providers, when the caching costs change linearly as well as exponentially.

Original languageEnglish (US)
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
StatePublished - 2015
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: Dec 6 2015Dec 10 2015

Publication series

Name2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
Country/TerritoryUnited States
CitySan Diego
Period12/6/1512/10/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Keywords

  • Content delivery networks (CCN)
  • Dynamic game
  • Game theory
  • Information centric networking (ICN)
  • Network Pricing

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