For a realistic traffic mix, we evaluate the hit rates attained in a two-layer cache hierarchy designed to reduce Internet bandwidth requirements. The model identifies four main types of content, web, file sharing, user generated content and video on demand, distinguished in terms of their traffic shares, their population and object sizes and their popularity distribu tions. Results demonstrate that caching VoD in access routers offers a highly favorable bandwidth memory tradeoff but that the other types of content would likely be more efficiently handled in very large capacity storage devices in the core. Evaluations are based on a simple approximation for LRU cache performance that proves highly accurate in relevant configurations.
Fricker et al. REF have looked at different types of traffic on the Internet such as web traffic, file sharing, user generated content and video on demand.
Impact of traffic mix on caching performance in a content-centric network
2012 Proceedings IEEE INFOCOM Workshops
2012 Proceedings IEEE INFOCOM Workshops
Computer Science