A Minimum Cost Real-Time Ubiquitous Computing System Using Edge-Fog-Cloud
A Minimum Cost Real-Time Ubiquitous Computing System Using Edge-Fog-Cloud
复制标题
使用边缘-雾-云的最低成本实时普适计算系统
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Tanima Dutta
中科院分区：
文献类型：
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作者：
Surbhi Saraswat;Hari Prabhat Gupta;Tanima Dutta
随着各种普适计算应用的发展，产生了大量的传感器数据。这些数据需要高效的本地化处理和存储。一个实时普适系统需要具备延迟感知处理能力，以满足普适应用的期限要求。利用边缘和雾设备在网络附近进行处理可满足这一需求。普适系统的成本取决于处理和存储的定价。在本文中，我们提出了一种基于边缘、雾和云层的普适计算系统，它不仅能处理给定应用的期限问题，还能使系统成本最小化。我们推导出表达式来估算普适计算系统的计算和存储成本以及网络延迟。我们展示了该分析在最小成本普适计算系统设计中的一个应用。我们提出了一种算法，用于确定执行满足系统期限所需的机器学习技术的层级，同时使网络成本最小化。
With the development of diverse ubiquitous computing applications, tremendous amount of sensor data is generated. This data requires efficient localized processing and storage. A real-time ubiquitous system requires latency-aware processing to satisfy the deadline of the ubiquitous applications. Performing processing near the network, using Edge and Fog devices, meets this need. The cost of the ubiquitous system depends on the pricing of the processing and storage. In this paper, we present an Edge, Fog, and Cloud layers based ubiquitous computing system, which not only deals with the deadline of a given application but also minimizes the cost of the system. We derive expressions to estimate the cost of computing and storage of the ubiquitous computing system and delay of the network. We demonstrate an application of the analysis in the design of a minimum cost ubiquitous computing system. We propose an algorithm to determine the layers for executing the machine learning techniques required to satisfy the deadline of the system and simultaneously minimize the cost of the network.