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一种基于两级缓存的协同缓存机制 被引量:1
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作者 刘嘉琦 张亚文 +3 位作者 张瀚文 孟绪颖 周继华 张玉军 《软件学报》 EI CSCD 北大核心 2021年第9期2963-2976,共14页
信息中心网络(information-centric networking,简称ICN)将网络通信模式从当前的以地址为中心转变为以信息为中心.泛在化缓存是ICN重要特性之一,它通过赋予网络任意节点缓存的能力来缓和服务器的压力,降低用户访问延迟.然而,由于缺少内... 信息中心网络(information-centric networking,简称ICN)将网络通信模式从当前的以地址为中心转变为以信息为中心.泛在化缓存是ICN重要特性之一,它通过赋予网络任意节点缓存的能力来缓和服务器的压力,降低用户访问延迟.然而,由于缺少内容热度的分布感知,现有ICN缓存策略仍存在缓存利用率较低、缓存位置缺乏合理规划等问题.为了解决这些问题,提出一种基于两级缓存的协同缓存机制(a cache coordination scheme based on two-level cache,简称CSTC).将每个节点的缓存空间分为热度感知和协作分配两部分,为不同热度的内容提供不同的缓存策略.同时,结合提出的热度筛选机制和路由策略,降低了缓存冗余,实现了缓存位置优化.最后,基于真实网络拓扑的仿真实验表明,CSTC在次热门内容缓存数量上提升了2倍,缓存命中率提升了将近50%,且平均往返跳数在多数情况下优于现有On-path缓存方式. 展开更多
关键词 信息中心网络 内容中心网络 网络化缓存 缓存 协同缓存
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Energy-Efficient Joint Content Caching and Small Base Station Activation Mechanism Design in Heterogeneous Cellular Networks 被引量:6
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作者 Renchao Xie Zishu Li +1 位作者 Tao Huang Yunjie Liu 《China Communications》 SCIE CSCD 2017年第10期70-83,共14页
Heterogeneous cellular networks(HCNs), by introducing caching capability, has been considered as a promising technique in 5 G era, which can bring contents closer to users to reduce the transmission delay, save scarce... Heterogeneous cellular networks(HCNs), by introducing caching capability, has been considered as a promising technique in 5 G era, which can bring contents closer to users to reduce the transmission delay, save scarce bandwidth resource. Although many works have been done for caching in HCNs, from an energy perspective, there still exists much space to develop a more energy-efficient system when considering the fact that the majority of base stations are under-utilized in the most of the time. Therefore, in this paper, by taking the activation mechanism for the base stations into account, we study a joint caching and activation mechanism design to further improve the energy efficiency, then we formulate the optimization problem as an Integer Linear Programming problem(ILP) to maximize the system energy saving. Due to the enormous computation complexity for finding the optimal solution, we introduced a Quantum-inspired Evolutionary Algorithm(QEA) to iteratively provide the global best solution. Numerical results show that our proposed algorithm presents an excellent performance, which is far better than the strategy of only considering caching without deactivation mechanism in the actual, normal situation. We also provide performance comparison amongour QEA, random sleeping algorithm and greedy algorithm, numerical results illustrate our introduced QEA performs best in accuracy and global optimality. 展开更多
关键词 caching base station activation energy saving quantum-inspired evolutionary algorithm
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