{"title":"EDF-based Energy-Efficient Probabilistic Imprecise Mixed-Criticality Scheduling","authors":"Yi-Wen Zhang, Jin-Long Zhang","doi":"10.1016/j.sysarc.2025.103361","DOIUrl":null,"url":null,"abstract":"<div><div>We focus on Mixed-Criticality Systems (MCS), which involves the integration of multiple subsystems with varying levels of criticality on shared hardware platforms. The classic MCS task model assumes hard real-time constraints and no Quality-of-Service (QoS) for low-criticality tasks in high-criticality mode. Many researchers have put forward a range of extensions to the classic MCS task model to make MCS theory more applicable in industry practice. In this paper, we consider an Imprecise MCS taskset scheduled with Earliest Deadline First algorithm on a uniprocessor platform, and propose an Energy-Efficient Task Execution Model that guarantees (deterministic or probabilistic) schedulability, allows degraded QoS to low-criticality tasks in high-criticality mode, and applies Dynamic Voltage and Frequency Scaling to save energy.</div></div>","PeriodicalId":50027,"journal":{"name":"Journal of Systems Architecture","volume":"160 ","pages":"Article 103361"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Architecture","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1383762125000335","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
We focus on Mixed-Criticality Systems (MCS), which involves the integration of multiple subsystems with varying levels of criticality on shared hardware platforms. The classic MCS task model assumes hard real-time constraints and no Quality-of-Service (QoS) for low-criticality tasks in high-criticality mode. Many researchers have put forward a range of extensions to the classic MCS task model to make MCS theory more applicable in industry practice. In this paper, we consider an Imprecise MCS taskset scheduled with Earliest Deadline First algorithm on a uniprocessor platform, and propose an Energy-Efficient Task Execution Model that guarantees (deterministic or probabilistic) schedulability, allows degraded QoS to low-criticality tasks in high-criticality mode, and applies Dynamic Voltage and Frequency Scaling to save energy.
期刊介绍：
The Journal of Systems Architecture: Embedded Software Design (JSA) is a journal covering all design and architectural aspects related to embedded systems and software. It ranges from the microarchitecture level via the system software level up to the application-specific architecture level. Aspects such as real-time systems, operating systems, FPGA programming, programming languages, communications (limited to analysis and the software stack), mobile systems, parallel and distributed architectures as well as additional subjects in the computer and system architecture area will fall within the scope of this journal. Technology will not be a main focus, but its use and relevance to particular designs will be. Case studies are welcome but must contribute more than just a design for a particular piece of software.
Design automation of such systems including methodologies, techniques and tools for their design as well as novel designs of software components fall within the scope of this journal. Novel applications that use embedded systems are also central in this journal. While hardware is not a part of this journal hardware/software co-design methods that consider interplay between software and hardware components with and emphasis on software are also relevant here.
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