Edge Components

Main components of our edge

MME (Mobility Management Entity)

Authentication and Security: MME handles user authentication and security key management in a mobile network, ensuring secure connections.
Mobility Handling: It manages mobility-related functions, such as tracking and paging of mobile devices as they move through the network.
Bearer Management: MME is responsible for creating, modifying, and releasing bearers for user data traffic.
Fault Tolerance: Redundancy and failover capabilities are often built-in to ensure network reliability.

Data Forwarding: UPF handles the forwarding of user data packets, ensuring efficient routing and low-latency communication.
Edge Computing: UPF can support edge computing capabilities, allowing the processing of data closer to the end-user for reduced latency.
Scalability: UPF can scale horizontally to handle increased data traffic loads.
Quality of Service (QoS): It supports QoS mechanisms to prioritize and manage different types of traffic, essential for services like video streaming and real-time communication.

Control Plane Functions: SPGW-C manages control plane signaling for user data sessions.
Session Management: It establishes and releases data sessions for mobile users, ensuring seamless connectivity.
Policy Enforcement: SPGW-C enforces network policies and performs session-specific functions, such as IP address allocation.
High Availability: Redundancy and high availability features are often included for network reliability.

The HSS is the central database that contains information about all the network operator's subscribers.
Subscriber-related information held by the HSS includes user identification, security, location and subscription profile.
It stores subscriber information (such as service profiles, authentication ciphering, subscription state, device details, user's physical location, and more), performs user authentication and authorization

Logstash is a light-weight, open-source, server-side data processing pipeline that allows you to collect data from a variety of sources, transform it on the fly, and send it to your desired destination.
Logstash acts as an aggregator -pulling data from various sources before pushing it down the pipeline into Elasticsearch

QOS is integral for evaluating data usage, packet loss, and latency directly from the network edge, contributing to performance optimization
QoS assesses data streams from the edge, relaying insights to the central HUB for reporting, debugging, and troubleshooting purposes

Last updated 1 month ago