Selfish Caching Games on Directed Graphs

by   Qian Ma, et al.

Caching networks can reduce the routing costs of accessing contents by caching contents closer to users. However, cache nodes may belong to different entities and behave selfishly to maximize their own benefits, which often lead to performance degradation for the overall network. While there has been extensive literature on allocating contents to caches to maximize the social welfare, the analysis of selfish caching behaviors remains largely unexplored. In this paper, we model the selfish behaviors of cache nodes as selfish caching games on arbitrary directed graphs with heterogeneous content popularity. We study the existence of a pure strategy Nash equilibrium (PSNE) in selfish caching games, and analyze its efficiency in terms of social welfare. We show that a PSNE does not always exist in arbitrary-topology caching networks. However, if the network does not have a mixed request loop, i.e., a directed loop in which each edge is traversed by at least one content request, we show that a PSNE always exists and can be found in polynomial time. Furthermore, we can avoid mixed request loops by properly choosing request forwarding paths. We then show that the efficiency of Nash equilibria, captured by the price of anarchy (PoA), can be arbitrarily poor if we allow arbitrary content request patterns, and adding extra cache nodes can make the PoA worse, i.e., cache paradox happens. However, when cache nodes have homogeneous request patterns, we show that the PoA is bounded even allowing arbitrary topologies. We further analyze the selfish caching games for cache nodes with limited computational capabilities, and show that an approximate PSNE exists with bounded PoA in certain cases of interest. Simulation results show that increasing the cache capacity in the network improves the efficiency of Nash equilibria, while adding extra cache nodes can degrade the efficiency of Nash equilibria.



There are no comments yet.


page 1

page 14


Public Goods Games in Directed Networks

Public goods games in undirected networks are generally known to have pu...

Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model

With the rapid explosion of data volume from mobile networks, edge cachi...

Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective

In wireless caching networks, a user generally has a concrete purpose of...

User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks

While next-generation wireless communication networks intend leveraging ...

Crowd-MECS: A Novel Crowdsourcing Framework for Mobile Edge Caching and Sharing

Crowdsourced mobile edge caching and sharing (Crowd-MECS) is emerging as...

Exploiting Tradeoff Between Transmission Diversity and Content Diversity in Multi-Cell Edge Caching

Caching in multi-cell networks faces a well-known dilemma, i.e., to cach...

Caching with Time Domain Buffer Sharing

In this paper, storage efficient caching based on time domain buffer sha...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.