An Efficient Execution Framework of Two-Part Execution Scenario Analysis
-
Published:2022-01-31
Issue:1
Volume:27
Page:1-24
-
ISSN:1084-4309
-
Container-title:ACM Transactions on Design Automation of Electronic Systems
-
language:en
-
Short-container-title:ACM Trans. Des. Autom. Electron. Syst.
Author:
Han Ding1,
Li Guohui1,
Zhou Quan1,
Li Jianjun1,
Yang Yong2,
Hu Xiaofei2
Affiliation:
1. Huazhong University of Science and Technology, Wuhan, Hubei, China
2. Wuhan Fiberhome Technical Services Co., Ltd, Wuhan, Hubei, China
Abstract
Response Time Analysis
(
RTA
) is an important and promising technique for analyzing the schedulability of real-time tasks under both
Global Fixed-Priority
(
G-FP
) scheduling and
Global Earliest Deadline First
(
G-EDF
) scheduling. Most existing RTA methods for tasks under global scheduling are dominated by partitioned scheduling, due to the pessimism of the
-based interference calculation where
is the number of processors. Two-part execution scenario is an effective technique that addresses this pessimism at the cost of efficiency. The major idea of two-part execution scenario is to calculate a more accurate upper bound of the interference by dividing the execution of the target job into two parts and calculating the interference on the target job in each part. This article proposes a novel RTA execution framework that improves two-part execution scenario by reducing some unnecessary calculation, without sacrificing accuracy of the schedulability test. The key observation is that, after the division of the execution of the target job, two-part execution scenario enumerates all possible execution time of the target job in the first part for calculating the final
Worst-Case Response Time
(
WCRT
). However, only some special execution time can cause the final result. A set of experiments is conducted to test the performance of the proposed execution framework and the result shows that the proposed execution framework can improve the efficiency of two-part execution scenario analysis by up to
in terms of the execution time.
Funder
State Key Program of National Natural Science of China
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province, China
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01