A Study on Clustering Schemes for Efficient Information Distribution in Information-Centric Networking
吉田 未希也 · Institutional Repositories DataBase (IRDB)
Information-Centric Networking (ICN) has attracted attention to meet the demand for content distribution. ICN supports content distribution using the network part as well as the producer by installing a cache function in the routers. However, since their cache size is extremely small, it is important to consider the efficient use of routers. To address this, several clustering schemes have been proposed to group several routers (i.e., a cluster) in the network and efficiently distribute content to each consumer by using nearby clusters. Nevertheless, two important issues remain: 1. how to efficiently use surrounding clusters, and 2. how to adapt to changes in content demand trends. In this study, I propose a novel clustering scheme that considers these issues and demonstrate its effectiveness through simulation evaluations. This scheme will contribute to improving quality of service regarding diverse content distribution in the future through clusters automatically formed based on content demand trends.