用于信息中心物联网服务的移动边缘云

E. Borgia, R. Bruno, M. Conti, Davide Mascitti, A. Passarella
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引用次数: 47

摘要

未来几年,物联网设备的数量和功能将呈指数级增长。随着智能个人移动设备的普及,这为基于移动用户当前兴趣和行为向其提供情境化服务提供了前所未有的机会。此外,大多数这些服务将以内容为中心,而不是以主机为中心。因此,云计算和信息中心网络(ICN)是这方面的两个关键技术。在这两种情况下,解决方案通常是为全球互联网平台设计的,而移动节点被视为边缘设备,通过无处不在的无线网络(通常是LTE)获取和发送数据。然而,由于数据隐私问题和即使是最后一代蜂窝网络的预期带宽短缺,这种方法是否会如预期的那样起作用是值得怀疑的。在本文中,我们提出了一个总体框架,其中全球云和ICN平台以一种完全协同的方式与移动设备在网络边缘形成的本地云相辅相成,其中服务提供和数据管理功能在可能(和适当)的情况下被卸载。这导致了物联网数据管理和服务供应的多层、以内容和服务为中心的方法。然后,我们将此框架应用于由边缘设备和全球云平台联合提供以数据为中心的服务的特定案例,并给出性能评估结果。结果表明,该方法非常有前途,因为它能够大幅减少相关的蜂窝网络流量,同时提高向用户提供服务的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile edge clouds for Information-Centric IoT services
The number and capabilities of IoT devices will exponentially grow over the next years. Together with the pervasive diffusion of smart personal mobile devices this opens up unprecedented opportunities for contextualised services provided to mobile users, based on their current interests and behaviours. In addition, most of these services will be content-centric rather than host-centric. Cloud computing and Information-Centric Networking (ICN) are therefore two key technologies in this perspective. In both cases, solutions are typically designed for global Internet platforms, while mobile nodes are seen as edge devices from which data are fetched and sent back through pervasive wireless networks (typically, LTE). However, it is questionable whether such an approach will work as expected, e.g., due to data privacy concerns and expected bandwidth shortage of even last-generation cellular networks. In this paper we present a general framework where global cloud and ICN platforms are complemented in a totally synergic way by local clouds formed at the edge of the network by mobile devices, where service provisioning and data management functionalities are offloaded whenever possible (and appropriate). This results in a multi-layer, content- and service-centric approach to IoT data management and service provisioning. We then present performance evaluation results from applying this framework to a specific case where data-centric services are jointly provided by edge devices and by a global cloud platform. Results show that this approach is very promising, as it is able to drastically cut the related cellular-network traffic, and, at the same time, improve the effectiveness of service provisioning to users.
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