Industrial Edge & Cloud Computing
The optimal use of data and connectivity between enterprise systems and the plant floor easily, flexibly and securely offers a wide range of benefits for manufacturers. IT technologies need to play a vital role in IIoT system architectures, with gateways are evolving to provide more flexible, innovative and efficient software solutions.
Focus on Industrial Edge
Edge computing utilizes a distributed computing model to bring processing power and data storage closer to locations in the factory to improve response times, save bandwidth and reduce network latency. Often used in conjunction with cloud computing , it provides companies more flexible and agile capabilities, increases operational efficiency and reduces risks/costs in industrial IoT applications.
SFP, QSFP or CFP? Which optical transceiver is best?
Optical transceivers are widely used in networking hardware installations, with different modules used for specific applications. While they …Learn More
Enabling optimum use of existing data
Cloud-based applications are providing opportunities for more resilient and flexible network management options, enabling them to make better …Learn More
Industrial Edge impact on smart manufacturing
Industrial Edge technologies are making an impact on smart manufacturing. In this special report, industry experts comment on …Learn More
How Industrial Edge technology fuels digital transformation
Edge computing facilitates data processing at the edge of a network, close to the edge devices, and avoids …Learn More
SPE: enhanced cloud access to sensors and peripherals
SPE, short for Single Pair Ethernet, is expected by many to revolutionize the way modern industrial communication networks …Learn More
Ethernet-APL: the future of process automation connectivity
Competition and cost pressures combined with Industry 4.0 have made device health status, operations analytics and predictive maintenance …Learn More
Data optimization at the edge with local data processing
The industrial world is being driven to more and more “close integration” from sensors to the cloud. Industries …Learn More