DocumentCode
154181
Title
Analysis and Design of Fault-Tolerant Scheduling for Real-Time Tasks on Earth-Observation Satellites
Author
Xiaomin Zhu ; Jianjiang Wang ; Ji Wang ; Xiao Qin
Author_Institution
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
fYear
2014
fDate
9-12 Sept. 2014
Firstpage
491
Lastpage
500
Abstract
Fault-tolerant scheduling is an efficient approach to improving the reliability of multiple earth-observing satellites especially in some emergent scenarios such as obtaining photographs on battlefields or earthquake areas. Unfortunately, little work has been done to deal with the fault-tolerant scheduling on satellites. To address this issue, this paper presents a novel dynamic fault-tolerant scheduling model using primary-backup policy to tolerate one satellite´s permanent failure at one time instant. On this basis, we propose a novel fault-tolerant satellite scheduling algorithm named FTSS, in which an overlapping technology is adopted to improve the resource utilization. Besides, the FTSS employs the task merging strategies to further enhance the schedulability. To demonstrate the superiority of our FTSS, we conduct extensive experiments by simulations using real-world satellite parameters from STK to compare FTSS with other baseline algorithms. The experimental results indicate that FTSS efficiently improves the scheduling quality of others and is suitable for fault-tolerant satellite scheduling.
Keywords
artificial satellites; failure analysis; fault tolerance; reliability; scheduling; FTSS; dynamic fault-tolerant satellite scheduling algorithm; emergent scenarios; multiple earth-observing satellite reliability; overlapping technology; primary-backup policy; real-time tasks; real-world satellite parameters; resource utilization; satellite permanent failure; task merging strategy; Dynamic scheduling; Fault tolerance; Fault tolerant systems; Merging; Processor scheduling; Real-time systems; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing (ICPP), 2014 43rd International Conference on
Conference_Location
Minneapolis MN
ISSN
0190-3918
Type
conf
DOI
10.1109/ICPP.2014.58
Filename
6957258
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