Schedulability Analysis of Real-Time Mode Change for Imprecise Computation on Multi-Core Platforms
Date Issued
2016
Date
2016
Author(s)
Yang, Chang-Min
Abstract
Most studies of real-time scheduling have focused on meeting deadlines of a given task set. However, many applications need to change operating modes depending on system states. For example, the flight control system of the aircraft depends on different functionalities and has Ground, Flight and Flare modes. Advanced Driver Assistance Systems can have Highway, Country Road, and City modes depending on different environments. Our motivations are that how to correctly and effectively change modes. Additionally, the imprecise computational model is widely applied to the image processing, AI system, etc. In this work, we consider this model which makes the system more flexible to schedule. Furthermore, this model can reduce the average response time, and improve User Experience (UX). We will focus on the traditional workload model and imprecise computational model to propose solutions. In order to address this problem, we extend the traditional schedulability analysis and develop a new analysis to the multi-mode system. In the experiment, we compare our schedulability analysis with other work by simulation. The result shows that our analysis can increase schedulability by 15 to 30%. Moreover, our work can actually increase the completed tasks during mode change on the imprecise computational model.
Subjects
Schedulability Analysis
Mode Change
Imprecise Computational Model
Multi-Core Real-Time Systems
Type
thesis
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