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On the Location of Fog Nodes in Fog-Cloud Infrastructures

机译:雾节点在雾云基础架构中的位置

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摘要

In the fog computing paradigm, fog nodes are placed on the network edge to meet end-user demands with low latency, providing the possibility of new applications. Although the role of the cloud remains unchanged, a new network infrastructure for fog nodes must be created. The design of such an infrastructure must consider user mobility, which causes variations in workload demand over time in different regions. Properly deciding on the location of fog nodes is important to reduce the costs associated with their deployment and maintenance. To meet these demands, this paper discusses the problem of locating fog nodes and proposes a solution which considers time-varying demands, with two classes of workload in terms of latency. The solution was modeled as a mixed-integer linear programming formulation with multiple criteria. An evaluation with real data showed that an improvement in end-user service can be obtained in conjunction with the minimization of the costs by deploying fewer servers in the infrastructure. Furthermore, results show that costs can be further reduced if a limited blocking of requests is tolerated.
机译:在雾计算范例中,雾节点位于网络边缘,以低延迟满足最终用户需求,从而提供了新应用的可能性。尽管云的角色保持不变,但是必须创建用于雾节点的新网络基础结构。这种基础架构的设计必须考虑用户的移动性,这会导致不同地区的工作负载需求随时间变化。正确确定雾节点的位置对于减少与雾节点的部署和维护相关的成本很重要。为了满足这些需求,本文讨论了定位雾节点的问题,并提出了一种考虑时变需求的解决方案,其中在延迟方面有两类工作负载。该解决方案被建模为具有多个标准的混合整数线性规划公式。通过对真实数据的评估表明,通过在基础架构中部署更少的服务器,可以将最终用户服务与成本最小化结合起来获得改善。此外,结果表明,如果允许有限的请求阻止,则可以进一步降低成本。

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