A novel joint adaptive forwarding and resource allocation strategy for named data networking based on SMDP

As a new networking paradigm adapted to the shift of Internet usage, named data networking (NDN) shows a promising prospect. The enhanced NDN data plane calls for a flexible management of the incoming requests. In this paper, we tackle the problem of designing a forwarding strategy of content requests for NDN from a single-node point of view. Based on the Semi-Markov Decision Process (SMDP) theory, we develop a Joint Adaptive Forwarding and Resource Allocation (JAFRA) strategy to route incoming requests to the best interface. Load balance among interfaces is also taking into account in our SMDP model to strike a trade-off between network profit and user satisfaction. We provide performance comparisons based on various scenarios, and the simulation results demonstrate that the JAFRA strategy resulted from the proposed analytical model leads to a significant enhancement in quality of service (QoS) provisioning for the requests and better resources utilization.