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. 2018 Mar 26;18(4):981.
doi: 10.3390/s18040981.

A Resource Service Model in the Industrial IoT System Based on Transparent Computing

Weimin Li  1   2 , Bin Wang  3 , Jinfang Sheng  4 , Ke Dong  5 , Zitong Li  6 , Yixiang Hu  7
Affiliations

A Resource Service Model in the Industrial IoT System Based on Transparent Computing

Weimin Li et al. Sensors (Basel). .

Abstract

The Internet of Things (IoT) has received a lot of attention, especially in industrial scenarios. One of the typical applications is the intelligent mine, which actually constructs the Six-Hedge underground systems with IoT platforms. Based on a case study of the Six Systems in the underground metal mine, this paper summarizes the main challenges of industrial IoT from the aspects of heterogeneity in devices and resources, security, reliability, deployment and maintenance costs. Then, a novel resource service model for the industrial IoT applications based on Transparent Computing (TC) is presented, which supports centralized management of all resources including operating system (OS), programs and data on the server-side for the IoT devices, thus offering an effective, reliable, secure and cross-OS IoT service and reducing the costs of IoT system deployment and maintenance. The model has five layers: sensing layer, aggregation layer, network layer, service and storage layer and interface and management layer. We also present a detailed analysis on the system architecture and key technologies of the model. Finally, the efficiency of the model is shown by an experiment prototype system.

Keywords: Internet of Things; IoT OS; industrial IoT; transparent computing.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Transparent computing architecture.
Figure 2
Figure 2
The labor costs of deployment and maintenance in “Six Systems” of Fankou.
Figure 3
Figure 3
The architecture of industrial IoT based on TC.
Figure 4
Figure 4
The architecture of the sensing and aggregation layer.
Figure 5
Figure 5
The architecture of the service and storage layer.
Figure 6
Figure 6
The Vdisk storage model and accessing mechanism.
Figure 7
Figure 7
The Vdisk storage structure.
Figure 8
Figure 8
Multi-OS remote booting on-demand in aggregation layer.
Figure 9
Figure 9
The performance results on random read throughput (a) and write throughput (b) of the service and storage layer.
See this image and copyright information in PMC

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