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Clique-aware mobile social clouds

机译:群体意识的移动社交云

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The important role played by cliques in identifying cohesive subgroups of people has been theorized and explored by sociologists years ago, but only recently investigated in large-scale social networks. In this paper we focus on the interplay between cliques established by on-phone communications and the urban locations their members share each other. The results about co-located cliques has been achieved through the extensive analysis of a large anonymized dataset of Call Detail Records (CDR) relying on the phone activities of nearly 1 million people in the city of Milan. Taking the cue from the observation of cliques, the paper envisions and designs a novel clique-support service for mobile users by fully exploiting the current virtualization process that is radically transforming the core network of mobile operators. The approach we propose brings together a few important contributions: first, it concretely shows that the current NFV-enabled trend of placing cloud services at the edge of the operator's network is viable and may have a payoff in terms of traffic offloading and improved user's experience; secondly, it demonstrates for the first time that a few typical cloud-based services can effectively be directly performed inside the mobile network by simply leveraging the rich amount of data about users' location and mobility behavior.
机译:社会团体在几年前就已经理论化和探索了集团在识别凝聚力人群中所起的重要作用,但直到最近才在大规模的社交网络中进行了研究。在本文中,我们将重点放在通过电话通讯建立的集团与他们的成员彼此共享的城市位置之间的相互作用。关于同位集团的结果是通过对大量匿名的呼叫详细记录(CDR)数据集进行广泛分析而得出的,该数据集依赖于米兰市近100万人的电话活动。借鉴团体观察的线索,本文通过充分利用当前正在彻底改变移动运营商核心网络的虚拟化流程,为移动用户设计并设计了一种新颖的团体支持服务。我们提议的方法汇集了一些重要的贡献:首先,它具体表明,当前将云服务置于运营商网络边缘的基于NFV的趋势是可行的,并且在流量分流和改善用户体验方面可能会有所收获;其次,它首次证明,只需利用关于用户位置和移动行为的大量数据,就可以在移动网络内部直接有效地执行一些典型的基于云的服务。

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