K
Kathleen Martin
Guest
Edge Computing brings new challenges for the lifecycle of facilities and for improving resilience in locations where there are typically no employees, and which are often deployed ad hoc.
Edge operators will need to look at four key issues, which will help them minimise downtime and risk in an infrastructure evolving from mission-critical to mission-critical.
Automation
To manage tens, hundreds or thousands of perimeter nodes that are impossible to control on site, innovative AI-based solutions are needed to provide real-time Edge information based on data about energy consumption and availability, thermal behavior, humidity, airflow, and environmental anomalies.
In this way. Users can "live" optimize consumption while minimizing risks by dynamically adjusting the optimal cooling and power modes.
Single dashboard
A central panel to easily operate on the global and individual status of Edge sites, including alarms, metrics, environmental conditions that may compromise the site.
These operation visualization tools should be tailored to Edge objectives with AI-based alerts that help operators stay informed in real-time about the most critical operational factors.
Dashboard users must understand and anticipate key performance metrics through predictive and dynamic analytics. In short, anticipate what might happen at any remote location.
Physical security
The distribution of the Edge in remote and unattended locations makes it necessary to control the physical security of sites. This is often less than in central environments.
When implementing an Edge computing strategy, it is necessary to consider a greater number of risk and accidental situations. For example, access, power outages and extreme environmental conditions.
Continue reading: https://www.datacenterdynamics.com/en/opinions/edge-computing-and-new-challenges-for-the-operator/
Edge operators will need to look at four key issues, which will help them minimise downtime and risk in an infrastructure evolving from mission-critical to mission-critical.
Automation
To manage tens, hundreds or thousands of perimeter nodes that are impossible to control on site, innovative AI-based solutions are needed to provide real-time Edge information based on data about energy consumption and availability, thermal behavior, humidity, airflow, and environmental anomalies.
In this way. Users can "live" optimize consumption while minimizing risks by dynamically adjusting the optimal cooling and power modes.
Single dashboard
A central panel to easily operate on the global and individual status of Edge sites, including alarms, metrics, environmental conditions that may compromise the site.
These operation visualization tools should be tailored to Edge objectives with AI-based alerts that help operators stay informed in real-time about the most critical operational factors.
Dashboard users must understand and anticipate key performance metrics through predictive and dynamic analytics. In short, anticipate what might happen at any remote location.
Physical security
The distribution of the Edge in remote and unattended locations makes it necessary to control the physical security of sites. This is often less than in central environments.
When implementing an Edge computing strategy, it is necessary to consider a greater number of risk and accidental situations. For example, access, power outages and extreme environmental conditions.
Continue reading: https://www.datacenterdynamics.com/en/opinions/edge-computing-and-new-challenges-for-the-operator/
