Dynamic Edge Device Reassignment for Low-Latency Service Continuity
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Solution Overview
Problem
Existing wireless networks face challenges in efficiently assigning and reassigning edge computing devices to provide low-latency services to user equipment due to geographical diversity and varying load conditions, leading to inconsistent quality of service.
Innovation Solution
An Edge Discovery System (EDS) monitors and manages edge computing devices to dynamically select and reassign them based on real-time performance metrics, load balancing, and user equipment location, ensuring seamless service continuity and enhanced quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If edge computing devices are deployed in geographically diverse locations to provide low-latency services, then service latency is reduced, but system complexity increases due to dynamic assignment and reassignment across multiple locations
Solution Approach 1:
The patent introduces a network controller as an intermediary device that centralizes the management of edge computing device assignments. The network controller receives service requests from user equipment, determines appropriate edge devices based on location and load conditions, and manages the dynamic assignment and reassignment processes. This intermediary approach reduces system complexity by consolidating control logic in a centralized entity rather than distributing it across all edge devices.
Solution Approach 2:
The patent implements dynamic assignment and reassignment of edge computing devices based on real-time conditions. The network controller continuously monitors load conditions, user equipment locations, and service requirements to dynamically determine optimal edge device assignments. This dynamic approach allows the system to adapt to changing conditions while maintaining low latency by selecting geographically appropriate edge devices.
2Reliability
If dynamic reassignment of edge computing devices is implemented based on real-time conditions, then quality of service is enhanced, but information processing requirements and system complexity increase
Solution Approach 1:
The network controller maintains a database containing information about multiple edge computing devices including their locations, capabilities, and current load conditions. This preliminary organization of information allows the controller to quickly determine appropriate edge devices for service requests without extensive real-time processing. The pre-structured data facilitates efficient decision-making while enhancing quality of service through informed assignment decisions.
Solution Approach 2:
The system implements feedback mechanisms where the network controller receives information about user equipment locations, service requirements, and edge device performance. Based on this feedback, the controller dynamically adjusts edge device assignments to optimize quality of service. The feedback loop enables continuous improvement of service delivery while managing information processing requirements through targeted data collection and analysis.
3Loss of time
If edge computing devices are selected based on user equipment location, then service latency is reduced, but adaptability to varying load conditions decreases
Solution Approach 1:
The patent applies local quality by considering both the geographical location of user equipment and the local load conditions of edge computing devices. The network controller evaluates multiple factors including user equipment location for latency optimization and edge device load conditions for resource management. This multi-dimensional approach allows the system to maintain low latency while adapting to varying load conditions by selecting edge devices that satisfy both location-based and load-based criteria.
Data Source
AI summary
A system described herein may identify a particular service provided by a first Edge Computing (“EC”) device to a particular User Equipment (“UE”), and may monitor performance information associated with the first EC device and/or a second EC device. The system may determine, based on the monitoring, that the second EC device should provide the service to the particular UE in lieu of the first EC device; and may accordingly cause the service to be provided to the particular UE by the second EC device in lieu of the first EC device. The system may notify the first EC device that the second EC device has been selected to provide the service to the particular UE in lieu of the first EC device, and/or may notify the second EC device that the second EC device has been selected to provide the service to the particular UE.