Stream Reasoning-Based Control of Caching Strategies in CCN Routers

TL;DR

This paper introduces a stream reasoning-based control system for CCN router caching strategies, enabling autonomous adaptation to request patterns for improved performance.

Contribution

It presents a novel router architecture using rule-based stream reasoning with LARS, allowing dynamic switching of caching strategies in CCN routers.

Findings

Significant performance improvements demonstrated in empirical evaluation.

Flexible, runtime-configurable router architecture developed.

Feasibility of intelligent caching control confirmed.

Abstract

Content-Centric Networking (CCN) research addresses the mismatch between the modern usage of the Internet and its outdated architecture. Importantly, CCN routers may locally cache frequently requested content in order to speed up delivery to end users. Thus, the issue of caching strategies arises, i.e., which content shall be stored and when it should be replaced. In this work, we employ novel techniques towards intelligent administration of CCN routers that autonomously switch between existing strategies in response to changing content request patterns. In particular, we present a router architecture for CCN networks that is controlled by rule-based stream reasoning, following the recent formal framework LARS which extends Answer Set Programming for streams. The obtained possibility for flexible router configuration at runtime allows for faster experimentation and may thus help to advance the further development of CCN. Moreover, the empirical evaluation of our feasibility study shows that the resulting caching agent may give significant performance gains.