Electrical and Computer Engineering ETDs

Publication Date

Fall 12-16-2023

Abstract

The continuous growth of mobile data traffic with strict time requirements calls for the development of sustainable edge content caching solutions. This becomes more prominent in the setting of Information-Centric Networking (ICN) architectures, where different ICNs are leasing caching slices to the available content providers (CPs), who in turn offer their services to the users. In this thesis, we introduce a novel symbiotic content caching framework that provides the necessary economic benefits to the ICNs and the CPs to mutualistically collaborate among each other. The corresponding mutualistic interactions among the ICNs and CPs are studied under the prism of two different market-based models, namely the competitive market and oligopoly market models. A game-theoretic approach is followed in order to determine the optimal leasing prices of the ICNs’ content caching slices and the CPs’ optimal amount of leased caching memory from the ICNs. The performance evaluation of the proposed new symbiotic content caching paradigm is achieved via modeling and simulation, while the benefits and drawbacks of the competitive and oligopoly market modeling approaches are revealed and discussed.

Keywords

ICN, Network economics, caching, game theory

Document Type

Thesis

Language

English

Degree Name

Computer Engineering

Level of Degree

Masters

Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Eirini Eleni Tsiropoulou

Second Committee Member

Jim Plusquellic

Third Committee Member

Aris Leivadeas

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