Trends in Edge computing – Ease & secure access of Industrial data

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In IIoT ecosystem, IT and OT meet at the edge. The edge is where data is sampled and collected from the environment by instrumented things or devices. Edge-Centric Architectures extend elastic compute, networking and storage across the cloud through to the edge of the network. The following are few of the trends for maintaining security and uptime with edge computing while streaming data securely.

  • Cloud offloading to address communication latency: Handling more processing at the network’s edge reduces latency from the device’s actions. Use cases that are highly time-sensitive and require immediate analysis of, or response to, the collected sensor data are, in general, unfeasible under cloud- centric IoT architectures, especially if the data are sent over long distances.
  • Encryption on endpoint to safeguard data security: By and large, sensitive and business-critical operational data are safer when encrypted adequately on the endpoint level. Unintelligent devices transmitting frequent and badly secured payloads to the cloud are generally more vulnerable to hacking and interception by unauthorized parties. Additionally, many enterprises may need to secure and control their machine data on the edge level for compliance reasons.
  • Sensor fusion: Combining data from different sources can improve accuracy. Data from two sensors is better than data from one. Data from lots of sensors is even better.
  • Sensor hubs: Developers increasingly experimenting with sensor hubs for industrial internet devices, which will be used to offload tasks from the application processor, cutting down on power consumption and improving battery life in the devices.
  • Analytics on the Edge leading to low cost-of-ownership and secured data: Reduce potentially huge cloud-computing costs (because of the sheer volume of 24/7 sensor data) by allowing “fog computing,” where the processing would be done right at the collection process combining real time analytics, with only the small amount of really relevant data being passed on to a central location.
  • Gateway-mediated edge connectivity and management architecture pattern: As the widespread acceptance of modern, open-field protocol standards has reduced the need for traditional gateways in the field, the IIoT has created a need for a new breed of intelligent gateways that unlock the full potential of interoperability among diverse real-world devices and industrial Internet systems
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