Advanced Predictive Maintenance
Advanced Predictive Maintenance
Predictive maintenance monitors data from sensors on equipment to ensure the device is in good condition. This allows the equipment to be flagged pre-emptively if there is a need to repair it, eliminating the need for scheduled maintenance.

Industries adopting this use case include

Manufacturing

Healthcare

Smart City

Telecoms
Use Case Archetype
Data intensive: Use cases where the amount of data makes it impractical to transfer over the network directly to the cloud, or from the cloud to the point-of-use, because of data volume, cost or bandwidth issues.
Human latency sensitive
Machine to machine latency sensitive
Life critical
Edge Infrastructure Model

Device
Edge
location
Smart devices (e.g. in vehicle, street lamp, IoT)
no. of racks
0
power
Up to 1kW
Tenancy
Single Tenant
External environment
Controlled (within Device), Harsh & Rugged
Passive infrastructure
May or may not have power and filtration, no cooling etc.

Micro
Edge
location
Enterprise site (e.g. retail, factory floor, IT closet)
no. of racks
0 - 4 racks
power
Up to 20kW
Tenancy
Single Tenant
External environment
IT Closet, Commercial & Office, Harsh & Rugged
Passive infrastructure
Has power with limited cooling and filtration, etc.

Distributed Edge
Data Center
location
Enterprise site (e.g. warehouse, office), telecoms site, parking lot, tier 2/3 city
no. of racks
5 - 20 racks
power
Up to 200kW
Tenancy
Single Tenant / Multi-tenant
External environment
Harsh & Rugged, Commercial & Office, Conditioned & Controlled
Passive infrastructure
Tier 1+

Regional Edge
Data Center
location
Tier 2/3 city
no. of racks
20+ racks
power
Up to 4000kW
Tenancy
Multi-tenant
External environment
Conditioned & Controlled
Passive infrastructure
Tier 3+
Workload Characteristics