Embedded OS Resource Allocation for Multi-Core Idle Core Utilization

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Solution Overview

Problem

The overall utilization rate of processing resources in multi-core processors is low due to most resources being in an idle state when services insensitive and sensitive to response speed are processed by the same processor, leading to inefficient resource allocation.

Innovation Solution

Dynamically allocate services to different operating systems based on a resource allocation rule considering service response speed, resource occupation rate, coupling degree, and importance, ensuring that services with varying requirements are executed by operating systems with matching capabilities, thereby optimizing processor resource utilization without additional acceleration hardware.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If services insensitive to response speed are processed by multi-core processor, then processing capacity is improved, but resource utilization rate deteriorates due to idle core resources

Engineering Contradiction:
Improveprocessing capacityVSAvoidresource utilization rate
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The multi-core processor is designed to perform multiple functions by dynamically allocating different types of services (both response-speed-sensitive and response-speed-insensitive) across its cores. The system enables the processor to function as both a general-purpose computing platform and an acceleration platform by allowing flexible service migration between processor cores and acceleration hardware based on real-time resource availability and service requirements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements dynamic resource allocation where services can be migrated between the multi-core processor and acceleration hardware based on changing conditions. The service migration mechanism allows the system to adaptively adjust which core handles which service, and when to offload services to acceleration hardware, thereby optimizing resource utilization rates while maintaining processing capacity.

Inventive Principle:
Principle #15Dynamics

2Speed

If acceleration hardware is combined with multi-core processor for response-speed-sensitive services, then response speed is improved, but device complexity increases

Engineering Contradiction:
Improveresponse speedVSAvoidsystem complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

A service migration mechanism acts as an intermediary layer between the multi-core processor and acceleration hardware. This mediator manages the complex interactions by automatically determining when and how to migrate services between processing platforms, thereby reducing the operational complexity for users while maintaining the performance benefits of the hybrid architecture.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms that monitor service performance metrics, resource utilization rates, and system state in real-time. Based on this feedback, the service migration mechanism dynamically adjusts service allocation between the processor and acceleration hardware, optimizing response speed while managing system complexity through automated decision-making.

Inventive Principle:
Principle #23Feedback

3Reliability

If most processing resources are kept in idle state, then service quality for response-speed-sensitive tasks is improved, but overall resource utilization deteriorates

Engineering Contradiction:
Improveservice qualityVSAvoidresource utilization rate
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system employs periodic monitoring and evaluation of service performance and resource utilization states. Through periodic assessment of whether services meet their response speed requirements and whether processor resources are underutilized, the system triggers service migration operations at appropriate intervals, thereby maintaining service quality while improving overall resource utilization rates through rhythmic optimization cycles.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentEP4474989B1Method and device for operating embedded system, embedded system, and chip
Publication Date: 2026.04.22 INSPUR SUZHOU INTELLIGENT TECH CO LTD
  • EP4474989B1 patent drawingFigure 1~2
  • EP4474989B1 patent drawingFigure 3~4
  • EP4474989B1 patent drawingFigure 5~6

AI summary

An embedded system running method and apparatus, and an embedded system and a chip are provided. The method includes: allocating, according to a resource dynamic allocation rule, a group of services to be allocated to corresponding operating systems in an embedded system, wherein the resource dynamic allocation rule includes performing resource dynamic allocation according to at least one of: a service response speed, a service resource occupation rate, a service coupling degree, and service importance, the embedded system includes a first operating system and a second operating system, and a response speed of the first operating system is higher than a response speed of the second operating system; determining resource allocation results corresponding to the group of services to be allocated, where the resource allocation results are used for indicating, among processing resources of the processor, a processing resource corresponding to each of the group of services to be allocated, and the processing resources of a processor include processor cores; and allocating the processing resources of a processor to the first operating system and the second operating system according to an operating system allocation result and the resource allocation result corresponding to each of the group of services to be allocated.