4 VIP: A Framework for Joint Dynamic Forwarding and Caching in Named Data Networks
Edmund M. Yeh, Tracey Ho, Ying Na Cui, Michael Burd, Ran Liu, Derek Leong · CaltechAUTHORS (California Institute of Technology) · 2014
Emerging information-centric networking architectures seek to optimally utilize both bandwidth and storage for efficient content distribution. This highlights the need for joint de-sign of traffic engineering and caching strategies, in order to optimize network performance in view of both current traf-fic loads and future traffic demands. We present a system-atic framework for joint dynamic interest request forward-ing and dynamic cache placement and eviction, within the context of the Named Data Networking (NDN) architecture. The framework employs a virtual control plane which op-erates on the user demand rate for data objects in the net-work, 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 dy-namic forwarding and caching, thereby maximizing the user demand rate that the NDN network can satisfy. Numerical experiments within a number of network settings demon-strate the superior performance of the resulting algorithms for the actual plane in terms of low user delay and high rate of cache hits.