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Enabling Fog Computing using Self-Organizing Compute Nodes

机译:使用自组织计算节点启用FOG计算

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The emergence of fog computing has led to the design of multi-layer fog computing models which are organized hierarchically. These models commonly dictate the hierarchical structure to all the participating compute nodes. However, organizing the compute nodes by adding customized connections that do not abide by the hierarchical approach, may result in improved performance due to the network's properties i.e., latency or bandwidth between the nodes. For this reason, in this paper we propose an alternative to the hierarchical approach, which is the self-organizing compute nodes. These nodes organize themselves into a flat model which leverages on the network's properties to provide improved performance. The results of the evaluation show that this approach reduces bandwidth utilization (~30%) by using optimized messaging instead of direct messaging. Furthermore, we show that following a flat model, enables the design of mechanisms for fault tolerance which has been mostly neglected in existing hierarchical models.
机译:雾计算的出现导致了多层雾计算模型的设计,这些模型是分层组织的。这些模型通常对所有参与计算节点的分层结构决定。但是,通过添加不遵守分层方法的自定义连接组织计算节点,可能导致由于网络的属性而导致的性能提高,节点之间的延迟或带宽。出于这个原因,在本文中,我们提出了一种替代分层方法,即自组织计算节点。这些节点将自己组织成一个平面模型,它利用网络的性能,以提供改进的性能。评估结果表明,通过使用优化的消息传递而不是直接消息传递,这种方法可以降低带宽利用率(〜30%)。此外,我们表明,在一个平面模型之后,使得能够设计用于现有层次模型中大多忽略的容错机制。

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