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Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity

机译:能量感知和自适应雾存储机制,数据复制时空内容流行

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摘要

Data traffic demand increases at a very fast pace in edge networking environments, with strict requisites on latency and throughput. To fulfil these requirements, among others, this paper proposes a fog storage system that incorporates mobile nodes as content providers. This fog storage system has a hybrid design because it does not only bring data closer to edge consumers but, as a novelty, it also incorporates in the system other relevant functional aspects. These novel aspects are the user data demand, the energy consumption, and the node distance. In this way, the decision whether to replicate data is based on an original edge service managed by an adaptive distance metric for node clustering. The adaptive distance is evaluated from several important system parameters like, distance from consumer to the data storage location, spatio-temporal data popularity, and the autonomy of each battery-powered node. Testbed results evidence that this flexible cluster-based proposal offers a more responsive data access to consumers, reduces core traffic, and depletes in a fair way the available battery energy of edge nodes.
机译:在边缘网络环境中,数据流量需求以非常快的速度增长,并且对延迟和吞吐量有严格的要求。为了满足这些要求,本文提出了一种雾存储系统,该雾存储系统结合了移动节点作为内容提供者。该雾存储系统具有混合设计,因为它不仅使数据更接近边缘消费者,而且,新颖的是,它还将系统中其他相关功能方面也纳入其中。这些新颖的方面是用户数据需求,能耗和节点距离。以这种方式,是否复制数据的决定是基于由用于节点群集的自适应距离度量管理的原始边缘服务。自适应距离是根据几个重要的系统参数进行评估的,例如,从用户到数据存储位置的距离,时空数据的流行程度以及每个电池供电节点的自治性。测试床结果证明,这种基于群集的灵活提议可以为用户提供更快速的数据访问,减少核心流量,并公平地消耗边缘节点的可用电池能量。

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