Session Manager for Dynamic Edge Node Allocation in 5G Networks
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Solution Overview
Problem
Existing edge computing systems face challenges in dynamically allocating and managing edge computing resources in 5G networks, particularly in efficiently routing traffic and selecting optimal edge nodes for improved latency and bandwidth.
Innovation Solution
A session manager is introduced to manage edge computing resources in a 5G network by configuring edge nodes to provide computing resources to mobile devices. The session manager generates a session identifier for mobile devices, associates it with their location, and communicates this information to cloud service systems to dynamically allocate edge computing resources as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If edge computing resources are dynamically allocated based on mobile device locations, then latency and bandwidth efficiency are improved, but device complexity and system management overhead increase
Solution Approach 1:
The patent introduces a session manager as an intermediary component that mediates between mobile devices and edge computing resources. The session manager handles location tracking, session identification, and resource allocation coordination, thereby reducing the complexity burden on individual devices while enabling dynamic resource allocation based on location for improved latency performance
Solution Approach 2:
The session manager performs multiple functions including session identification, location management, resource allocation coordination, and session termination handling. This multi-functional design consolidates complex management tasks into a single universal component, improving latency through dynamic allocation while managing system complexity through functional consolidation
2Quantity of substance
If edge nodes are selected based on mobile device locations, then bandwidth efficiency is improved, but measurement and detection difficulty increase
Solution Approach 1:
The session manager continuously tracks mobile device locations and uses this feedback information to dynamically select optimal edge nodes for resource allocation. The location tracking mechanism provides ongoing feedback about device positions, enabling the system to optimize bandwidth efficiency by routing traffic to the nearest appropriate edge node while managing the detection complexity through systematic tracking protocols
3Adaptability or versatility
If dynamic resource allocation is implemented, then adaptability to changing network conditions is improved, but device complexity increases
Solution Approach 1:
The system implements dynamic resource allocation where edge computing resources are assigned and reassigned based on changing mobile device locations and network conditions. The session manager manages these dynamic changes by tracking session states and reallocating resources as needed, thereby improving adaptability while containing complexity through centralized dynamic management rather than device-level complexity
Data Source
AI summary
Some embodiments are directed to a session manager, a cloud service system, and a mobile device. The session manager may be configured for managing an edge computing resource in a mobile network, wherein the mobile network comprises edge nodes which are configurable to provide edge computing resources to mobile devices. The session manager may generate a session identifier for the mobile device and associate the session identifier with the mobile device. Later, the session manager may receive a request from the cloud service system for deployment of an edge computing resource for the mobile device on an edge node.