iSim: Uma Estratégia de Agrupamento de Usuários para Descarregamento de Dados em Redes Móveis Centradas na Informação
Abstract
This paper presents iSim, a high-affinity similarity measure to group users based on content diversity and frequency requests. We designed the proposed strategy in an Information-Centric Cellular Network to provide data offloading. Experimental results show the iSim's adaptability to different scenarios and present best results in hit ratio and data offloading when the strategy is used. Futhermore, the results also show that hit ratio and data offloading is better when similarity is based in both content diversity and frequency of common requests than when just one factor is used.
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