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在命名数据网络中,链路拥塞或节点负载较高会造成数据的响应时间较长,即节点由发出请求与接收数据的时间间隔较大,从而影响用户获取数据的时间,针对这一问题,提出一种基于数据响应时间的动态概率存储策略.节点根据估计响应时间与容忍响应时间,存储响应时间较长的数据,使用户下一次能够从本节点获取数据,降低数据的响应时间.仿真结果表明,本策略能够有效地提高网内的存储命中率,降低用户获取数据的时间以及缩短用户获取数据的距离.
In a named data network, the link is congested or the load of the node is high, which results in a longer response time of the data, that is, the time interval between requesting and receiving data of the node is relatively large, thereby affecting the time when the user acquires the data. In response to this problem, A dynamic probabilistic storage strategy based on data response time is proposed.Nodes store response time longer according to estimated response time and tolerable response time so that the next time the user can obtain data from this node and reduce the response time of the data.The simulation results It shows that this strategy can effectively improve the storage hit ratio in the network, reduce the time for users to obtain data and shorten the distance for users to obtain data.