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1. 中国科学院计算机网络信息中心,北京100190
2. 中国科学院研究生院,北京100049
[ "吴海博(1981-),男,山东新泰人,博士,中国科学院计算机网络信息中心助理研究员,主要研究方向为未来互联网、缓存技术、对等网络。" ]
[ "李俊(1968-),男,安徽桐城人,中国科学院计算机网络信息中心研究员、副总工、博士生导师,主要研究方向为未来互联网、网络安全等。" ]
[ "智江(1983-),男,山西太原人,中国科学院研究生院博士生,主要研究方向为下一代互联网关键技术。" ]
网络出版日期:2016-05,
纸质出版日期:2016-05-15
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吴海博, 李俊, 智江. 基于概率的启发式ICN缓存内容放置方法[J]. 通信学报, 2016,37(5):62-72.
Hai-bo WU, Jun LI, Jiang ZHI. Probability-based heuristic content placement method for ICN caching[J]. Journal on communications, 2016, 37(5): 62-72.
吴海博, 李俊, 智江. 基于概率的启发式ICN缓存内容放置方法[J]. 通信学报, 2016,37(5):62-72. DOI: 10.11959/j.issn.1000-436x.2016093.
Hai-bo WU, Jun LI, Jiang ZHI. Probability-based heuristic content placement method for ICN caching[J]. Journal on communications, 2016, 37(5): 62-72. DOI: 10.11959/j.issn.1000-436x.2016093.
提出一种基于概率存储的启发式住处中心网络内容缓存方法(PCP)。主要思想是请求消息和数据消息在传输过程中统计必要信息,当数据消息返回时,沿途各缓存节点按照一定概率决策是否在本地缓存该内容。设计缓存概率时综合考虑内容热度和缓存放置收益,即内容热度越高,放置收益越大的内容被缓存的概率越高。实验结果表明,PCP在缓存服务率、缓存命中率、平均访问延迟率等方面,与现有方法相比具有显著优势,同时PCP开销较小。
A probability-based heuristic caching strategy(PCP)was proposed.The major idea was that relevant informa-tion was collected when the interest and data packet are transmitted.When the data packet is returned back
on-path cache nodes decide whether to cache the content with certain probability.The probability is associated with the content popu-larity and placement benefit
i.e.
proportional to content popularity and content placement benefit.The experimental re-sults indicate PCP can achieve salient performance gain in terms of cache service ratio
cache hit ratio
access latency ra-tio
compared with current strategies.Meanwhile
PCP's overhead is affordable.
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