Towards gateway to Cloud offloading in IoT publish/subscribe systems

Daniel Happ, A. Wolisz
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引用次数: 13

Abstract

It is not uncommon today that sensor devices connected to the Internet solely send their data to Cloud-based servers for storage and processing. This does not only mean clients requesting data have to contact the Cloud-based service, even if the data is available in the local network, but also that data is sent to external services with unknown or ambiguous privacy policies. The great potential in using closer to the edge fog computing instead of Cloud computing to both enable faster and more privacy-aware processing locally has been recognized in the research community. In particular, on premise smart gateways can provide local low-latency storage and processing capabilities that are controlled locally and can be trusted. In this work, we outline a combined fog Cloud system that automatically selects a suitable execution location for processing tasks. We emphasize on the design challenges of such a system and further demonstrate a solution for the interplay between Fog and Cloud by showing how processing task can be migrated from one system to another on the fly without service interruption.
在物联网发布/订阅系统中实现网关到云卸载
如今,连接到互联网的传感器设备仅将其数据发送到基于云的服务器进行存储和处理的情况并不少见。这不仅意味着请求数据的客户端必须联系基于云的服务,即使数据在本地网络中可用,而且还意味着数据被发送到具有未知或模糊隐私策略的外部服务。在研究界,使用更接近边缘的雾计算而不是云计算来实现更快、更敏感的本地处理的巨大潜力已经得到认可。特别是,本地智能网关可以提供本地低延迟存储和处理功能,这些功能在本地控制并且可以信任。在这项工作中,我们概述了一个组合雾云系统,它可以自动选择合适的执行位置来处理任务。我们强调了这样一个系统的设计挑战,并通过展示如何在不中断服务的情况下将处理任务从一个系统迁移到另一个系统,进一步演示了Fog和Cloud之间相互作用的解决方案。
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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