Why does this matter operationally?
Cost Efficiency
The discipline of delivering required connectivity performance at sustainable operational and capital cost. Cost efficiency in connectivity involves trade-offs between link capacity, redundancy, technology choice, and managed service dependency.
197 terms
Emission Control
Emission Control is the management of signal emission level, direction, timing, or pattern to reduce detectability or interference.
Operations
Encryption
Encryption is the process of transforming data so it cannot be read without the correct key or decryption method. It is used to protect confidentiality in digital systems.
Software
Energy Management System
A software platform that monitors and optimizes energy consumption and generation at the facility or campus level, balancing on-site generation, storage, and controllable load against cost, efficiency, and resilience objectives…
Software
Energy Storage System
A facility- or grid-scale battery installation storing electrical energy for later use, typically interfaced to the grid through a smart inverter, serving functions including backup power, peak demand management, renewable…
Hardware
Equal Cost Multi Path
Equal Cost Multi Path is a routing method that allows multiple routes with the same cost to be used for forwarding traffic, enabling multipath routing and load sharing.
Protocol
Error Correction
Error Correction is the use of coding or processing methods to detect and repair errors in transmitted or stored data, improving reliability and data integrity.
Software
Ethernet
Ethernet is a family of wired networking technologies used for local area communication that defines framing, addressing, and physical connectivity for device communication on local networks.
Protocol
Event Streaming
Event Streaming is the continuous production, transport, and consumption of discrete event records as they occur in a system.
Software
Fault Tolerance
Fault Tolerance is the ability of a system to continue operating correctly despite component failures or errors.
Operations
Federated Learning
Federated Learning is a distributed machine learning training approach in which a shared model is trained collaboratively across multiple decentralized devices or sites, each using its own local data, with…
Concept/Framework