What does it take to enable edge computing, edge analytics, and edge intelligence?
To meet the needs of modern manufacturing, automotive, or telecommunications industries, it is important to acknowledge that businesses are under tremendous pressure to drive innovation and efficiency on their plant floors. This necessitates a comprehensive methodology that combines new/existing IT products with emerging methodologies, along with the goal of avoiding the time-consuming and error-prone manual configuration of several devices and applications at scale.
The following considerations must be noted while building an edge architecture:
- Autonomy and resiliency: Because the solution necessitates autonomy, connection interruptions cannot be permitted.
- Resource constraints: Low compute capability and small footprint of the devices.
- Security challenges: Data privacy, physical device security, and network security of the connected devices.
- Manageability: Manage application...
