SOLUTION COMPENDIUM
◉Customer Premises Edge Compute. Answer: Edge compute
strategy relating to the computing device or devices installed on the
customers' premises or on their assets adjacent to their sensors,
local area network (LAN), and IoT objects. VERY Low latency,
dedicated devices, moderate compute workloads. Data can remain
on the premises and customer has more control over security. Most
improved computing model. ARM and x86 architecture
◉Edge computing. Answer: the model of providing data processing
geographically close to assets such as sensors, actuators, IoT objects,
and humans. Increases privacy and reliability. Can also reduce WAN
traffic.
◉Colocation. Answer: the practice of housing privately-owned
servers and networking equipment in a third-party data center.
Reduces distance, latency, and (sometimes) solution complexity.
◉Edge Computing Deployment Nodes. Answer: IOT Devices,
Customer Edge Device, Mobile Edge Compute (MCE), Centralized
IOT Platform
, ◉IOT Devices. Answer: Edge Computing Deployment Node. Simple.
Sensors and actuators installed close to data sources or control
interfaces.
◉Customer Edge Device. Answer: Edge Computing Deployment
Node. Receive data from and send commands to IOT devices. Limited
local storage/processing/networking functions. Can be on the
customer's or CPS's premises. Goal is to acquire sensor data, filter
data, normalize data, and control sensors and actuators.
◉MEC. Answer: Mobile Edge Computer. Edge Computing
Deployment Node. Servers that reduce transmission costs and
provide fast interactive responses. May have limited resources.
Focused on data aggregation, compression, and transformation.
◉Centralized IOT Platform. Answer: Edge Computing Deployment
Node. Powerful central storage and processing capabilities. Provides
data interoperability and uniform data access. Remote management
of IOT devices. Often cloud computing based.
◉C-PEC. Answer: Customer Premises Edge Compute.
◉CSP-PEC. Answer: Communication Service Provider Premises Edge
Compute. Edge compute strategy. Computing resources installed on