作者
Zaffar Haider Janjua, Massimo Vecchio, Mattia Antonini, Fabio Antonelli
发表日期
2019/9/1
期刊
Engineering Applications of Artificial Intelligence
卷号
84
页码范围
41-50
出版商
Pergamon
简介
In the recent years, a rapid growth of IoT devices has been observed, which in turn results in a huge amount of data produced from multiple sources towards the most disparate cloud platforms or the Internet in general. In a typical cloud-centric approach, the data produced by these devices is simply transmitted over the Internet, for consumption and/or storage. However, with the exponential growth in data production rates, the available network resources are becoming the actual bottleneck of this huge data flowing. Therefore, several challenges are appearing in the coming years, which are mainly related to data transmission, processing, and storage along the so-called cloud-to-thing continuum. In fact, one of the most critical requirements of several IoT applications is low latency, which often hinders raw data consumption to happen at the opposite endpoint with respect to its production. In the context of IoT data …
引用总数
201920202021202220232024111171657
学术搜索中的文章
ZH Janjua, M Vecchio, M Antonini, F Antonelli - Engineering Applications of Artificial Intelligence, 2019