Author: SHAUN KIRBY Translated by: Xiaoyu, Yu Zhiwen, Aileen If we consider cars as the ultimate “objects” in the Internet of Things (IoT), then the “data center on wheels” can draw many lessons from the enterprise data centers of the “Internet of Things”. The rise of the Internet of Things (IoT) has triggered an astonishing … Read more
Fog Computing is a term created by Cisco, supported by the OpenFog Consortium, which was established in November 2015 by Arm, Cisco, Dell, Intel, Microsoft, and Princeton University’s Edge Lab. The mission statement (in part) is as follows: Our work will define the architecture of distributed computing, networking, storage, control, and resources to support intelligence … Read more
▲ Click the above Leifeng Network to follow Edge computing can be divided into MEC, micro cloud, and fog computing. Author | Guo Renxian With the pervasive development of the Internet of Everything, in recent years, the popularity of edge computing has continued to rise, showing a competitive stance against cloud computing. IDC predicts that … Read more
Click the blue text to follow us Real-Time Task Scheduling for Fog-Cloud Computing Algorithm Design and Analysis Design and analysis of real-time task scheduling algorithm for fog-cloud computing Author Affiliation ZHANG Yannian, WU Hao, ZHANG Yun College of Electronic and Information Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing 211188, China Author Introduction: ZHANG Yannian … Read more
Abstract In a data-driven manufacturing environment, how can a secure, distributed automation architecture be developed? Balancing fog computing and cloud computing will help the Industrial Internet of Things (IIoT) better realize its potential. By implementing automation systems through the IIoT, deploying sensors to measure, monitor, and analyze data can enhance efficiency and increase revenue in … Read more
If you often pay attention to articles about “edge computing”, you will find that it has a brother called “fog computing”. Most published articles explain these two terms in a similar way: they both refer to computing that takes place at the edge of the network, closer to the native data (physical sensing), relative to … Read more