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A Probabilistic Model-Based Hybrid-Key Task Energy Optimum Scheduling Method

A probabilistic model and optimized scheduling technology, applied in data processing applications, forecasting, instruments, etc., can solve the problems of low real execution time, waste of system resources, etc., and achieve the goals of reducing energy consumption, saving energy consumption, and prolonging the use time Effect

Active Publication Date: 2022-07-29
HUAQIAO UNIVERSITY
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Problems solved by technology

[0003] Existing research on energy consumption of mixed-critical systems assumes that tasks are always executed in their worst-case time, which is too pessimistic because the real execution time of a task is often lower than its worst-case execution time; System waste of resources

Method used

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  • A Probabilistic Model-Based Hybrid-Key Task Energy Optimum Scheduling Method
  • A Probabilistic Model-Based Hybrid-Key Task Energy Optimum Scheduling Method
  • A Probabilistic Model-Based Hybrid-Key Task Energy Optimum Scheduling Method

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Embodiment Construction

[0055] The technical solutions in the embodiments of the present invention will be described and discussed in detail below with reference to the accompanying drawings of the present invention. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0056] see figure 1 As shown in the present invention, a method for optimizing and scheduling energy consumption of a hybrid key task based on a probability model includes the following steps:

[0057] Step 101: Establish a probability-based hybrid critical task scheduling model.

[0058] Consider a uniprocessor system containing n mutually independent mixed critical periodic tasks model Γ = {τ 1 ,τ 2 ,…,τ n }, mixed critical periodic tasks τ i (1≤i≤n, i is an integer) by (T i ,D i ,L i ,C i (LO),C i (HI), PET i ) means, where T i and D i respectively τ i period and relative deadline; L i is τ i The key level of ,...

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Abstract

The invention relates to a method for optimizing the energy consumption of mixed key tasks based on a probability model. The worst-case execution time in task low mode and the feasibility condition of system scheduling, respectively calculate the low critical level task speed S LO and high critical level mission speed S HI ; Derive the probability model of energy consumption with the probability model of task execution time; find out the execution probability of high key level tasks in high mode, so that the average energy consumption of the system is the lowest. The method of the present invention minimizes the average energy consumption of the system by utilizing the probability model of the task.

Description

technical field [0001] The invention relates to low energy consumption real-time scheduling of a hybrid key system, in particular to a method for optimizing energy consumption of a hybrid key task based on a probability model. Background technique [0002] An embedded real-time system that integrates multiple applications of different key levels on the same platform becomes a mixed key system. Hybrid critical systems are widely used in aerospace and automotive electronics. For example, the flight control system of an airplane, the control system of a car, and the control system of a cardiac pacemaker. The working environment of these systems is limited, and some even work in extreme environments. The energy to drive these systems usually adopts batteries. Due to the limited power supply capacity of batteries, energy consumption has become an important factor that must be considered in the design of these systems. [0003] Existing energy consumption studies on mixed-critic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/18
CPCG06Q10/04G06Q10/0631G06F17/18G06Q50/06
Inventor 张忆文
Owner HUAQIAO UNIVERSITY
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