Optimization Strategy Of Edge Caching For Information-centric Networking

The Information-Centric Network(ICN)decouples the relationship between data and network location,and forwards data based on content identification,which overcomes the problems of mobility,security,and scalability faced by existing IP networks.The ICN intranet cache makes the content acquisition more efficient through the ubiquitous node cache capability.However,there are a large number of mobile access devices on the edge of the ICN network,and the content failure caused by massive data requests and mobile access point handovers results in limited support for limited service space for existing service requests.Therefore,designing efficient.cache optimization strategies in combination with the characteristics of ICN edge networks has become the focus of ICN research.Academia has studied the optimization of ICN cache performance from different perspectives,but there are still many problems.For example,existing cache decision-making schemes are all promoted by the core of the network to the edge side.The edge-side nodes that can prioritize the content heat distribution and are closer to the consumer make the cache decision last,and the upstream and downstream are not considered in the cache decision process.The mutual influence between node cache decisions and the adaptive ability to dynamic changes of cache are insufficient.In addition,in existing content consumer mobility support solutions,an effective balance cannot be achieved between service delay and cache overhead.Aiming at the cache decision problem during content request,this paper proposes an edge cache collaboration strategy based on the relative popularity of content.The content caching decision is advanced to the request forwarding stage,and the edge of the network is pushed to the core network.The relative popularity calculation method is introduced as the decision criterion for content caching.The content popularity is determined according to the local coordination between nodes on the request forwarding path Real-time updates enable the ICN edge network to sense dynamic changes in the cache and make more reasonable cache decisions.Experimental results show that the proposed edge cache collaboration strategy based on relative popularity can improve resource access efficiency,reduce content source server load pressure,and increase resource diversity on the edge-side network.Aiming at the problem of coordination between service delay and cache overhead when mobile consumer access points switch at the edge of ICN network,this paper proposes a multi-level active cache strategy for edge nodes based on mobile probability aggregation.First,the Markov motion prediction model is used to calculate the transition probability of a node moving to a potential target location,and then the transition probability entropy value is calculated to complete the quantization process.Through the method of horizontal aggregation and vertical aggregation,comprehensively consider the balance between cache cost and content access delay when prefetching content at different levels of the network,and select the optimal prefetch node subset to prefetch content items.Experimental results show that the proposed active caching strategy can effectively improve the hit rate of prefetched content and reduce the communication delay.Based on the characteristics of ICN edge network,this paper deeply researches the edge cache optimization strategy,which improves the service performance and resource diversity at the edge of ICN network,which has certain significance for the optimization of in-network cache in the edge environment of ICN network.