Characteristic Analysis of Socially-Aware Information-Centric Networking
Characteristic Analysis of Socially-Aware Information-Centric Networking
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DOI：
10.1109/noms56928.2023.10154426
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发表时间：
2023-05
期刊：
影响因子：
--
通讯作者：
Kodai Honda;Ryo Nakamura;N. Kamiyama
中科院分区：
文献类型：
--
作者：
Kodai Honda;Ryo Nakamura;N. Kamiyama
近年来，随着Twitter和Facebook等社交网络服务(SNS)的快速增长，用户生成内容的流量急剧增加。在SNS中实现高效内容分发的一种网络体系结构是缓存网络，例如内容分发网络(CDN)和以信息为中心的网络(ICN)。为了使缓存网络有效地运行，关键是在缓存节点，如CDN中的缓存服务器和ICN中的路由器，适当地设计缓存策略和缓存替换策略。然而，要设计一个用于分发SNS内容的缓存网络，我们必须仔细考虑社交网络的巨大因素--代表SNS用户之间的社会关系的社交网络特征和缓存网络的社交关系。因此，在本文中，我们假设ICN被引入作为SNS的内容分发基础设施，并广泛分析了社会性ICN的特点。特别是针对社交网络的典型特征之一--有影响力的用户，研究了有影响力的用户的选择对ICNS内容缓存的影响。因此，我们发现缓存命中率根据确定有影响力的用户的中心性度量而不同。
In recent years, with the rapid growth of Social Networking Service (SNS), e.g., Twitter and Facebook, the traffic of user-generated contents has dramatically increased. One of promising network architectures to realize efficient content delivery in SNS is cache network, e.g., Content Delivery Network (CDN) and Information-Centric Networking (ICN). In order for the cache network to effectively operate, the key is to appropriately design the caching strategy and the cache-replacement policy at caching nodes, e.g., cache server in CDNs and router in ICNs. However, to design a cache network for distributing SNS contents, we have to carefully consider tremendous factors – features of social network representing the social relationship among SNS users and those of cache network. Therefore, in this paper, we assume that ICN is introduced as a content distribution infrastructure for SNS, and extensively analyze the characteristics of the socially-aware ICN. In particular, we focus on the influential user called influencer, which is one of typical features of social networks, and investigate the effect of the selection of influential users on the content caching in ICNs. Consequently, we reveal that the cache hit ratio differs according to centrality measures that determine influential users.