A Packet-Level Caching Algorithm for Mitigating Negative Effects Caused by Large Objects in ICN Networks

被引:2
|
作者
Yamamoto, Yoji [1 ]
Takemasa, Junji [2 ]
Koizumi, Yuki [1 ]
Hasegawa, Toru [1 ]
机构
[1] Osaka Univ, Grad Sch Informat Sci & Technol, Osaka 5650871, Japan
[2] KDDI Res & Dev Labs Inc, Fujimino 3568502, Japan
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Analytical models; Prediction algorithms; Degradation; Information-centric networking; Licenses; Information science; Information and communication technology; Information centric networking; packet-level caching; large object; PERFORMANCE;
D O I
10.1109/ACCESS.2020.3001088
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Increase in the size of content due to the emergence of bandwidth-intensive applications leads to a problematic phenomenon of <italic>packet-level caching</italic> which is called <italic>looped replacement</italic>. This causes a waste of cache usage and results in caching performance degradation. The goals of the paper are twofold: identifying the root cause of looped replacement and mitigating it. In order to achieve the goals, we analytically investigate not only how looped replacement occurs, but also how cache hit probability decreases. According to the analysis, we propose to use <italic>cache admission</italic>, which only admits packets arriving frequently to a cache, as a countermeasure against both problems. Finally, we develop an analytical model of packet-level caching with cache admission, and theoretically proves that cache admission mitigates these problems and improves cache hit probability.
引用
收藏
页码:108247 / 108259
页数:13
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