For enterprises, cloud services provide secure data integration and complex analysis, but in order to get more direct information directly from sources closer to the data source, especially for process management or mixed industries with distributed assets, edge operations (edge The demand for compuTIng) has been increasing. According to a recent study by the ARC Adisory Group, a hybrid edge and cloud technology will be the cornerstone of future automation infrastructure. According to the study, nearly 91% of industrial automation users expect network edges to deploy better systems and connectivity to improve real-time decision making.

However, they also understand that the demand at the edge should be more easily met, and more than 90% of users said that as edge computing technology continues to grow, organizations will need a more streamlined edge infrastructure and Remote control management. John Fryer, director of shutdown prevention solutions company Stratus Technologies, said that the expansion of industrial Internet of Things (IIoT) and virtualization (VirtualizaTIon) is creating a more simplified edge solution, and Stratus thus published an edge algorithm at IoT Tech Expo. The solution includes the latest version of ftServer and an edge computing system for remote management.

The Stratus solution simplifies the remote management and continuous availability of mission-critical edge applications, regardless of the edge of the data center, automation plant, or network end. The latest version of ftServer will be self-monitoring, self-diagnosing and self-healing edge servers, suitable for remote management of hybrid deployments, factory manufacturing processes and other fault tolerances as business critical areas, in addition to the latest version of ftServer with VMware support Better performance, improved usability and manageability.

Stratus' versatile, virtualized and integrated edge computing system can be deployed separately or connected to ftServer. Stratus has demonstrated prototype applications at the IoT Tech Expo, including real-time analysis, data acquisition and monitoring systems (SCADA). ARC pointed out that the need to improve asset performance management, improve production and reduce unplanned downtime will drive edge users to deploy edge computing systems. Companies that can quickly leverage the advantages of self-managed edge computing infrastructure will have better performance in unlocking and utilizing long-term data that is left behind in machines and processes.

It also enables faster detection of low production performance factors, comparison of product quality, identification of potential production, environmental or safety issues, and remote management enabling edge infrastructure to directly contact off-site experts to quickly resolve problems or avoid downtime. Fryer pointed out that companies are often overwhelmed by the vast amount of data they collect. In addition to running IIoT efficiently, the information will only increase more and more important. If the company does not properly dispose of this information, it will miss the possibility of key insights and thus independence. Edge computing systems outside the data center or cloud server must enhance simplicity and reliability.

Stratus CEO Dave Laurello said that the more industrial automation and connectivity applications, the more customers need edge infrastructure with high reliability, continuous availability and operational simplification to unlock the true value of the IIoT business, and plant operators do not want to adopt the need. Experts are always on the edge of complex edge technology.