A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Study

Julien Gedeon, Jeff Krisztinkovics, Christian Meurisch, Michael Stein, L. Wang, M. Mühlhäuser
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引用次数: 16

Abstract

The emerging paradigm of edge computing has proposed cloudlets to offload data and computations from mobile, resource-constrained devices. However, little attention has been paid to the question on where to deploy cloudlets in the context of smart city environments. In this vision paper, we propose to deploy cloudlets on a city-wide scale by leveraging three kinds of existing infrastructures: cellular base stations, routers and street lamps. We motivate the use of this infrastructure with real location data of nearly 50,000 access points from a major city. We provide an analysis on the potential coverage for the different cloudlet types. Besides spatial coverage, we also consider user traces from two mobile applications. Our results show that upgrading only a relatively small number of access points can lead to a city-scale cloudlet coverage. This is especially true for the coverage analysis of the mobility traces, where mobile users are within the communication range of a cloudlet-enabled access point most of the time.
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面向未来智慧城市的多云基础设施:实证研究
新兴的边缘计算范式提出了云计算,以从移动、资源受限的设备中卸载数据和计算。然而,在智慧城市环境中,在哪里部署云计算的问题却很少受到关注。在这份愿景报告中,我们建议通过利用三种现有基础设施:蜂窝基站、路由器和路灯,在全市范围内部署云计算。我们利用来自一个主要城市的近5万个接入点的真实位置数据来激励这种基础设施的使用。我们对不同云类型的潜在覆盖范围进行了分析。除了空间覆盖,我们还考虑了来自两个移动应用程序的用户痕迹。我们的研究结果表明,仅升级相对较少的接入点就可以实现城市规模的云覆盖。对于移动性跟踪的覆盖分析尤其如此,其中移动用户大部分时间都在启用云的接入点的通信范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Semi-Edge: From Edge Caching to Hierarchical Caching in Network Fog EdgeEye A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Study Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking Duvel
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