Researches on Optimized Caching and Forwarding of Content-Centric Networking
Chengming Li · Kyushu University Institutional Repository (QIR) (Kyushu University) · 2015
Researches on Optimized Caching and Forwarding of Content-Centric Networking by Chengming Li Content-Centric Networking (CCN) has recently attracted a lot of attention of researchers, which emerges as a novel clean slate network architecture.The core feature of CCN is changed from host-centric communication model to content-centric model.In CCN, contents are retrieved directly by their names, instead of locations.The general infrastructure of CCN is in-networking caching.Content in CCN is distributed in cost efficient and secure manner.However, in order to be deployable at a global scale, CCN must develop effective caching and forwarding engines.There are some challenge issues needed to be solve in caching and forwarding, such as scalability, intelligent forwarding strategies, power consuming and cache management.Firstly, this thesis proposed a Greening Domain and Ant Colony based Forwarding (GDACF) scheme for CCN.One of major challenges in CCN is how to support a scalable intelligent Interests forwarding strategy while considering power consuming and allowing huge name space.To address this challenge, GDACF divides the network into multiple domains and adopts the domain-based aggregation to improve its scalability.Popularity inspired caching and adaptive rate (AR) are used to improve energy-efficiency of CCN.GDACF inherently leverages parallelism and stochastic features of Ant Colony Optimization algorithm for supporting Quality of Service aware intelligent forwarding of Interests.It adaptively reduces impacts incited by the dynamic complex network.The evaluation results show that GDACF scheme improve the stability, robustness and energy-efficiency of Content-Centric networking.Secondly, this thesis proposed a Game theoretical Interest Multiple Forwarding (GIMF) method for effective usage of cached data.It is common that the current router does not have all the information of cached data in network, because of the huge naming space and volatility of Content Store in each router.Thus, this thesis argues that it is necessary to supplement CCN with mechanisms to make Interests multiple forwarding for cached data.The goal is to maximize the residual capacity in the network so that iii