DocumentCode :
3591820
Title :
Supporting fault-tolerant on-board evolution in aerospace reconfigurable platform
Author :
Peng Liu ; GuoJun Dai ; Tingting Fu ; Xiang Zhang
Author_Institution :
Inst. of Comput. Applic. Technol., Hangzhou Dianzi Univ., Hangzhou
fYear :
2007
Firstpage :
371
Lastpage :
374
Abstract :
Due to long distance and terrible environment, it is difficult to maintain spacecrafts once they were launched. Traditional on-board software maintenance (OBSM) often fails because of broken communication and unexpected situation. This has generated a pressing need for self-adaptive, self-repairing and self-upgrading capabilities in On-Board Maintenance (OBM) applications. In this paper, we propose a fault-tolerant onboard evolutionary platform which implements relocation of hardware and software tasks in spaceborne computing systems. Tasks can either run in software space or be put into hardware task slots according to energy-efficient or real-time requirements. The allocation of hardware and software tasks will evolve in terms of current condition to meet real-time, energy-efficient or environment requirements. Sleeping tasks, redundant FPGAs and version switching control are combined together to achieve fault-tolerance in the on-board evolutionary platform. The design theories and strategies of proposed prototype are described in detail. Simulation and experiment results are discussed as well.
Keywords :
aerospace computing; fault tolerant computing; field programmable gate arrays; software maintenance; space vehicles; aerospace reconfigurable platform; fault-tolerant on-board evolution; onboard software maintenance; redundant FPGA; sleeping tasks; spaceborne computing systems; spacecrafts; version switching control; Fault-tolerance; intelligent adaptation; on-board evolution; task allocation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
ISSN :
0537-9989
Print_ISBN :
978-0-86341-836-5
Type :
conf
Filename :
4786215
Link To Document :
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