Cloud Computing, Fog Computing, and Internet of Things: Data Processing for Smart Environments in the Era of Industry 4.0

Add to your list(s) Download to your calendar using vCal

• Dr Luiz Bittencourt (University of Campinas)
• Monday 18 November 2019, 11:30-12:30
• Seminar room 2, Institute for Manufacturing, University of Cambridge.

If you have a question about this talk, please contact Shuya Zhong.

The cloud paradigm is now established as a standard for offering on-demand computing as a service over the Internet. Despite its popularity, some limitations make cloud computing not ideal for some types of smart applications, especially those that consume vast amounts of data captured by edge devices for data processing in the cloud. Sensors and small single-board computers (e.g. Raspberry Pi) are examples of edge devices broadly being applied in the industry nowadays. However, the high delays on the communication among devices (where data is collected) and the cloud data centre (where data is processed) may jeopardise the expected performance for factory-driven applications to work properly. To that extent, fog and edge computing have emerged as a way to contour such limitations by adding computing layers between applications (users and edge devices) and the cloud data centre to shorten the latency among them. In this talk, I will give an overview of these computing infrastructures, discussing applications that can benefit from these additional computing layers with particular focus on the Internet of Things and its role in enabling Industry 4.0.

This talk is part of the DIAL seminars series.

This talk is included in these lists:

• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Centre for Smart Infrastructure & Construction
• Chris Davis' list
• DIAL seminars
• IfM Seminars
• Interested Talks
• Seminar room 2, Institute for Manufacturing, University of Cambridge
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.