An adaptive cloud-based IoT back-end architecture and its applications

被引:4
|
作者
Marosi, Attila Csaba [1 ]
Farkas, Attila [1 ]
Lovas, Robert [1 ]
机构
[1] Hungarian Acad Sci MTA SZTAKI, Inst Comp Sci & Control, Lab Parallel & Distributed Syst, POB 63, H-1518 Budapest, Hungary
来源
2018 26TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, AND NETWORK-BASED PROCESSING (PDP 2018) | 2018年
基金
对外科技合作项目(国际科技项目); 欧盟地平线“2020”;
关键词
IoT; precision agriculture; big data; data ingestion; containers;
D O I
10.1109/PDP2018.2018.00087
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things (IoT) is playing increasingly more fundamental role in wide range of sectors, including industry, agriculture, health care, and other services. In many cases, cloud computing serves as an elastic and efficient paradigm for implementing IoT back-ends. With the emerging lightweight software container technologies, the feasible approaches and design options for such IoT back-ends have been significantly enriched. In our paper we present the evolution of an IoT back-end, which is responsible for collecting (among others) meteorological, image and soil data from cultivated fields in order to enable precision farming. The different versions, namely the cloud VM-based and the Docker containerized variants, provide highly scalable and vendor independent (cloud provider agnostic) solutions, therefore they can form a robust and adaptive framework for further pilot applications areas, e.g. Connected Cars and Industry 4.0, as the presented benchmarks illustrate the throughput and other parameters of the current implementation in the paper.
引用
收藏
页码:513 / 520
页数:8
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