What is the difference between edge and cloud computing?

Edge computing refers to processing data close to the source of data, often at or near the edge of a network. Cloud computing involves processing and storage of data on remote servers accessed through the internet. Edge computing aims to reduce the amount of data transferred to the cloud and reduce latency, while cloud computing offers scalability and centralized data management.

Can edge and cloud computing co-exist?

Yes, edge and cloud computing can co-exist. Edge computing often is used to preprocess data before sending it to the cloud for storage and further analysis. The cloud can provide additional processing power and storage resources for complex operations, while the edge can provide real-time data processing capabilities. Combining edge and cloud computing can provide the benefits of both technologies and create a more efficient and flexible computing infrastructure.

What is the relationship between edge and cloud computing?

Edge and cloud computing have a complementary relationship, with each offering unique capabilities and advantages. Edge computing is often used for real-time data processing and decision making at the edge of a network, while cloud computing is used for large-scale data storage and processing. The data processed at the edge can be sent to the cloud for further analysis, and the results can be sent back to the edge for immediate use. This relationship allows for a more efficient and flexible computing infrastructure, as the cloud can provide additional processing power and storage resources as needed, while the edge can provide low-latency data processing capabilities.

What are the five benefits of edge computing?

Reduced latency: Edge computing processes data closer to the source, reducing the time it takes for data to be transmitted to the cloud and back. Improved reliability: Edge computing can mitigate the risk of data loss or delays that may occur due to network disruptions by processing data locally. Increased security: Sensitive data can be processed and stored at the edge, reducing the risk of cyberattacks or data breaches. Better scalability: Edge computing allows for processing at multiple locations, reducing the strain on central servers and making it easier to scale operations as needed. Cost-effectiveness: By processing data locally, organizations can reduce the amount of data they need to send to the cloud, potentially reducing costs associated with cloud storage and bandwidth.

Edge and Cloud Computing | Control Engineering

Edge and Cloud Computing December 1, 2021

OEM delivers automated pressure testing with edge computing

An oil and gas original equipment manufacturer (OEM) uses edge computing for integrated data and control to maintain the safety and integrity of drilling facilities.

By Josh Eastburn

Courtesy: Peter Galan, retired control software engineer

Edge and Cloud Computing November 30, 2021

Event-driven applications for embedded systems: Summary of PDF

C code is provided and explained for creating event-driven applications for embedded systems, and simulating a task-manager application.

By Peter Galan

Courtesy: Peter Galan, a retired control software engineer

Edge and Cloud Computing November 29, 2021

On the edge: Smartening up sensors

Edge computing makes sensors smarter to use in many manufacturing applications. See five manufacturing use cases for edge processing and three edge computing benefits.

By Shashidhara Dongre and McNally Bethapudi

Edge and Cloud Computing June 29, 2021

Edge computing for industrial AIoT applications

Artificial intelligence (AI) applications in Industrial Internet of Things (IIoT) and edge computing provide advantages for real-time decisions and smarter actions in the field. See advice on edge computer selection and tools for building Artificial Intelligence of Things (AIoT) applications.

By Ethan Chen and Alicia Wang

Edge and Cloud Computing April 28, 2021

Edge computing’s importance in Industry 4.0

Edge computing links on-the-floor devices and the cloud and pre-processes data for use. Four common edge computing mistakes are highlighted.

By Patti Engineering

Edge and Cloud Computing April 8, 2021

Edge computing provided cost-effective upgrades

Case study: Used equipment had functional controllers, typically legacy programmable logic controllers (PLCs), and others had defunct PLCs or no automation at all. Edge controllers and input/output (I/O) devices helped integrate the equipment into a cohesive system, which led us to make an edge controller the central focus.

By Thomas Coombs

Edge and Cloud Computing March 22, 2021

AMP upgrades to edge controllers

Largest U.S. rotary heat-treating facility modernizes controls and automation with tight database integration.

By Josh Eastburn

Edge and Cloud Computing October 4, 2020

Edge computing, artificial intelligence power automation innovation

Edge computing allows engineers to use lower costs to develop newer applications such as shop-floor data analysis and quality prediction. Artificial intelligence (AI) improves the efficiency and accuracy of plant operations.

By Stone Shi

Edge and Cloud Computing