Edge Station Service Migration via Prioritized Data Transfer
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Solution Overview
Problem
Centralized data centers face latency issues when communicating with client devices, particularly in scenarios like autonomous vehicle control, where edge stations provide services that degrade as the vehicle moves out of communication range, disrupting service continuity.
Innovation Solution
A system with multiple edge stations and a central data center that uses migration accelerator logic to efficiently transfer services between edge stations, prioritizing and migrating services from one edge station to another as the client device travels, ensuring low-latency service continuity through hardware migration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If services are executed at a centralized data center, then operational complexity is reduced, but communication latency increases
Solution Approach 1:
The centralized data center is segmented into multiple edge stations distributed geographically closer to client devices. Each edge station executes services locally, reducing communication latency while maintaining centralized management through coordination between edge stations.
Solution Approach 2:
The system transitions from a single centralized location to a multi-dimensional distributed architecture where services can be executed at different edge stations based on geographic proximity to client devices, adding a spatial dimension to service execution.
2Speed
If edge stations are used to reduce latency, then communication speed improves, but service continuity deteriorates as client devices move out of range
Solution Approach 1:
The system proactively migrates services from the current edge station to a target edge station before the client device completely loses connection. This preliminary action ensures service continuity by establishing the service at the target edge station while still connected, allowing seamless transition as the device moves out of range.
Solution Approach 2:
The system continuously monitors connection quality and device position to determine when service migration should occur. This feedback mechanism enables timely migration decisions that maintain service continuity while optimizing for low latency throughout the client device's movement.
3Reliability
If services are migrated proactively, then service continuity is maintained, but data transfer overhead increases
Solution Approach 1:
The system performs partial migration by transferring only the necessary service data and state information to the target edge station, rather than migrating entire service environments. This reduces data transfer overhead while maintaining service continuity.
Solution Approach 2:
The system changes the parameter of data transfer by optimizing what data is transferred (only essential service state and configuration) and when it is transferred (proactively but efficiently), reducing overall energy consumption while maintaining reliability.
Data Source
AI summary
Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.