Operating System Task Queues for Load-Aware Thread Allocation
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Solution Overview
Problem
Existing operating systems face inefficiencies due to the burst of thread creation by applications, leading to increased load and reduced performance when handling a large number of tasks.
Innovation Solution
The operating system allocates tasks to specific task queues based on load levels and queue types, managing thread allocation to prevent thread abuse and optimize efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an application creates a large quantity of threads to execute a large quantity of tasks, then the task execution capability is improved, but the load of the operating system increases and running efficiency is reduced
Solution Approach 1:
The patent merges multiple task queues into a unified management structure where the operating system allocates threads centrally. Instead of each application independently creating threads, the system combines thread management at the OS level, allowing efficient reuse of threads across multiple applications and tasks, thereby reducing overall system load while maintaining high task execution capability.
Solution Approach 2:
The patent implements universal thread pools that can serve multiple applications and task types. Threads are designed to be multi-functional, capable of executing different tasks from different applications sequentially or in parallel, eliminating the need for dedicated threads per application and significantly reducing the total thread count while maintaining productivity.
2Productivity
If an application creates a large quantity of threads to execute a large quantity of tasks, then the task execution capability is improved, but the running efficiency of the operating system is reduced
Solution Approach 1:
The patent pre-allocates thread pools and task queues before tasks arrive. Threads are created and configured in advance based on predicted workload, and task queues are pre-established with proper prioritization. This preliminary setup eliminates the overhead of dynamic thread creation and context switching during task execution, significantly improving running efficiency while maintaining high productivity.
Solution Approach 2:
The patent ensures continuous utilization of threads through intelligent task scheduling and queue management. Threads are kept busy by systematically assigning tasks from multiple queues, minimizing idle time and context switches. This continuous useful action maximizes the efficiency of each thread, reducing overall system execution time while handling large quantities of tasks.
Data Source
AI summary
In a thread management method, an application submits first information to an operating system through an API. The first information is used to indicate at least one first task to be executed by the application. The operating system allocates, by using the first information, the at least one first task to be executed by the application to a corresponding first task queue, and allocates a thread to the first task queue based on a current load level of the operating system and a type of the first task queue.