Title
Distributed Caching via Rewarding: An Incentive Caching Model for ICN.
Abstract
Information Centric Networking (ICN) leverages built-in caching capacity, termed as in-network caching, to support fast and efficient content distribution. The profits of ICN brought by its widespread in-network caching infrastructures has been well explored, but how to incentivize network players to deploy the socially optimal number of caches was largely ignored. Network players might not want to deploy or contribute their cache resources, if they do not have clear economic incentives, as cache deployment implies an extra capital expenditure. In this paper, we focus on the economic incentive interactions in caching deployment and usage between several types of network players in ICN. In particular, a Stackerlberg game model is used to capture the interactions between content provider (CP) and Internet service providers (ISPs). By using backward induction, it is proven that an equilibrium of the proposed model exists, under which both ISPs and CP can achieve their maximum utility. Numerical results show the effectiveness of the proposed model and the findings can provide important insights for network players to design efficient content sharing and caching schemes.
Year
Venue
Field
2017
IEEE Global Communications Conference
Content sharing,Software deployment,Incentive,Computer science,Cache,Computer network,Information-centric networking,Backward induction,Capital expenditure,Profit (economics)
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yuemei Xu1687.00
Yang Li220815.35
Song Ci31086106.10
Tao Lin419611.39
Fu Chen563.91