为提高内容分发网络的用户满意度,提出一种基于局部需求特征的副本优化选择算法.在边缘代理存储能力受限的情况下,依据边缘代理所在区域的局部需求特征,通过对局部需求特征的提取并以此作为启发式信息进行副本的优化选择.仿真结果表明,与其他几种副本选择算法相比较,该算法所获得的请求覆盖率均高于其他算法.
In order to improve customer satisfaction an optimal replica selection algorithm is proposed for content delivery network based on local request characteristic. In the case of limited storage capacity of surrogates, according to request characteristic of local surrogates, the local request characteristic is used as heuristic information to select replica. Simulations show that the proposed method can obtain higher re- quest of coverage compared with several other algorithms.