2016/10/13 by Harald Beck, Bruno Bierbaumer, Beck, Harald +9
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Caching and Content Delivery #Covalent Organic Framework Applications #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Peer-to-Peer Network Technologies
paper · pdf · doi:10.48550/arxiv.1610.04005
openalex publication_date 2016/10/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Content-Centric Networking (CCN) research addresses the mismatch between the modern usage of the Internet and its outdated architecture.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.