Work

Energy-Efficient Partitioned-RM Scheduling for Shared Resources Imprecise Mixed-Criticality Tasks

Year: 2025

Type: article

Abstract: Shared resources and energy consumption are important factors to consider in the design of mixed-criticality systems. Existing works have studied these two factors separately. In this article, we simultaneously focus on shared resources and energy consumption on multiprocessor platforms. Firstly, we address the problem of energy-aware scheduling for the fixed-priority imprecise mixed-criticality tasks with shared resources and propose a schedulability test based on the Multiprocessor Priority Ceiling Protocol for a given task-to-processor mapping. Secondly, we calculate the energy-efficient speed of each processor based on the schedulability test and propose the corresponding task-to-processor mapping algorithm, called IMCPA. Finally, we conduct experiments on a real-world case and synthetic tasksets. The experimental results show that IMCPA can improve the schedulability ratio by about 13.76% and save energy consumption by about 34.89% compared to the existing algorithms.

Source: ACM Transactions on Embedded Computing Systems

DOI: 10.1145/3728641

Authors: Yi-Wen Zhang, Rong-Kun Chen

Institution: Huaqiao University

Language: English

Topic: Real-Time Systems Scheduling

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: bronze

Funders: Natural Science Foundation of Fujian Province, Fundamental Research Funds for the Central Universities