面向资源受限物联网应用的数据管理框架——边缘云架构

G. Sharma, N. Hemrajani, Satyajeet Sharma, Aditya Upadhyay, Y. Bhardwaj, Ashutosh Kumar
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引用次数: 1

摘要

通过现代网络传输的数据量和复杂性从未像现在这样迅速增加,但物联网在这一增长中发挥了重要作用。这将导致指向数据中心进行处理的流量显著增加。流量的增加直接影响物联网设备的响应时间,这在医院等敏感环境中可能是不可取的。我们想看看一种被称为边缘计算的现代计算范式,它将云平台现在拥有的一些分析和处理资源带到生成数据的地方,从而减少生成的数据量。这些信息必须传达给网络,并且必须提高系统的响应时间。
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Data management framework for IoT edge-cloud architecture for resource-constrained IoT application
Abstract There has never been a time when the volume and complexity of data travelling through modern networks have increased rapidly, but the Internet of Things has played a significant role in this rise. This will result in a significant increase in traffic directed to data centres for processing. This increase in traffic directly impacts the response time of IoT devices, which may be undesirable in sensitive environments such as hospitals. We want to look at a modern computing paradigm known as Edge Computing, which brings some of the analytical and processing resources, that cloud platforms now have, to the point where data is generated, reducing the amount of data generated. This information must be communicated to the network, and the system’s response time must be improved.
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CiteScore
3.10
自引率
21.40%
发文量
126
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