Emerging information-centric networking architectures seek to optimally utilize both bandwidth and storage for e cient content distribution. This highlights the need for joint design of tra c engineering and caching strategies, in order to optimize network performance in view of both current tra c loads and future tra c demands. We present a systematic framework for joint dynamic interest request forwarding and dynamic cache placement and eviction, within the context of the Named Data Networking (NDN) architecture. The framework employs a virtual control plane which operates on the user demand rate for data objects in the network, and an actual plane which handles Interest Packets and Data Packets. We develop distributed algorithms within the virtual plane to achieve network load balancing through dynamic forwarding and caching, thereby maximizing the user demand rate that the NDN network can satisfy. Numerical experiments within a number of network settings demonstrate the superior performance of the resulting algorithms for the actual plane in terms of low user delay and high rate of cache hits.
Yeh et al. REF proposed VIP, a framework for joint dynamic forwarding and caching in NDN.
VIP: a framework for joint dynamic forwarding and caching in named data networks
ICN '14
Computer Science