报告简介:
Even though a key driver for Information-Centric Networking (ICN) has been the rise in Internet video traffic, there has been surprisingly little work on analyzing the interplay between ICN and video � which ICN caching strategies work well on video workloads and how ICN helps improve video-centric quality of experience (QoE). In this work, we bridge this disconnect with a tracedriven study using 196M video requests from over 16M users on a country-wide topology with 80K routers. We evaluate a broad space of content replacement (e.g., LRU, LFU, FIFO) and content placement (e.g., leave a copy everywhere, probabilistic) strategies over a range of cache sizes. The key findings we have are useful for the deployment of ICN in large-scale reallife Internet environment.
报告人简介:
孙毅,1979年5月出生,中国科学院计算技术研究所研究员、博士生导师,澳大利亚国家信息与通信技术研究院(NICTA)客座研究员,美国卡内基梅隆大学(CMU)高级访问学者,中国科学院卓越青年科学家计划入选者,研究方向是互联网体系结构、服务优化,承担了973、自然科学基金等重要项目10余项,在JSAC、Communication Magazine、Hotnets、CoNEXT和INFOCOM等领域重要国际期刊和会议上发表论文40余篇,获得专利10余项,参与制定互联网国际标准1项,国家通信行业标准1项,成果获得中国计算机学会技术发明二等奖、中国专利奖、北京市发明创新大赛通信专项奖等奖励10余项,蝉联计算所第一、二届技术创新大赛冠军。