CPU Availability Monitoring for Boot-Time Task Scheduling

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

During the bootup of vehicle head units, competing applications and processes lead to high processing loads, making it difficult to predict future CPU load and availability, which can result in inefficient task scheduling.

Innovation Solution

A method to monitor processor availability by calculating the processor availability percentage using equations (1) and (2), considering current and maximum frequencies, idle time, and processor mode statistics, allowing for accurate scheduling of tasks only when processors are available.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If applications and processes execute tasks during bootup, then system functionality is established, but processor availability decreases due to high processing load

Engineering Contradiction:
Improvetask execution efficiencyVSAvoidprocessor availability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs preliminary monitoring of processor availability during bootup by collecting processor statistics and calculating availability percentages before scheduling tasks. This advance assessment allows the job scheduler to make informed decisions about task scheduling timing, ensuring tasks are only scheduled when processors are sufficiently available, thus resolving the contradiction between establishing system functionality and maintaining processor availability.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the job scheduler continuously monitors processor availability, then task scheduling accuracy improves, but system complexity increases

Engineering Contradiction:
Improveprocessor availability measurementVSAvoidscheduling system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses self-service monitoring where the processor itself provides statistics about its own state (idle time, frequency, mode) without requiring external monitoring infrastructure. The availability calculation is performed by the processor using its own internal counters and registers, simplifying the overall system architecture while maintaining precise measurement of processor availability for scheduling decisions.

Inventive Principle:
Principle #25Self-service

3Loss of time

If tasks are scheduled immediately during bootup, then response time decreases, but processor load becomes unmanageably high

Engineering Contradiction:
Improvetask scheduling delayVSAvoidprocessor load
Core Design Contradiction:
Loss of timeVSPower

Solution Approach 1:

The system dynamically adjusts scheduling behavior based on real-time processor availability assessment. During bootup, when processor availability is low, the scheduler pauses and waits for availability thresholds to be met. As processors become available, scheduling resumes dynamically. This dynamic approach prevents overwhelming processor load while minimizing unnecessary delays, resolving the contradiction between immediate response and manageable processing load.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260072800A1Real-time CPU availabilty monitoring
Publication Date: 2026.03.12 GOOGLE LLC
  • US20260072800A1 patent drawing
  • US20260072800A1 patent drawing
  • US20260072800A1 patent drawing

AI summary

One or more processors of a computing device may determine, based at least in part on one or more processor statistics and one or more processor mode statistics, a processor availability of the one or more processors. The one or more processors may determine, based at least in part on the processor availability of the one or more processors, whether the one or more processors are available to execute one or more tasks. The one or more processors may, in response to determining that the one or more processors are available to execute the one or more tasks, executing, by the one or more processors, the one or more tasks.