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Fault-tolerant real-time tasks scheduling with dynamic fault handling

Chen, Gang (author)
Sun Yat Sen Univ, Guangzhou, Peoples R China
Guan, Nan (author)
HongKong Polytech Univ, Hong Kong, Peoples R China
Huang, Kai (author)
Sun Yat Sen Univ, Guangzhou, Peoples R China
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Wang, Yi (author)
Uppsala universitet,Datorteknik
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 (creator_code:org_t)
ELSEVIER, 2020
2020
English.
In: Journal of systems architecture. - : ELSEVIER. - 1383-7621 .- 1873-6165. ; 102
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Predictable performance when coping with transient failures is of paramount importance in safety-critical real-time systems. Various software fault-tolerant techniques are employed towards this goal among which check-pointing is a relatively cost-effective scheme. In this paper, we propose an efficient fault-tolerant scheduling framework with run-time fault handling protocol, where criticality levels can be adaptively inserted for fault handling according to run-time fault workload. In contrast to prior works which apply with task re-execution strategy, the proposed framework adaptively determines on-demand re-executions only on the faulty checkpoint segments, rather than on the whole job. Towards this, a unified overrun handling protocol is developed to handle fault recovery adaptively to avoid over-provisioning of resources. In addition, we develop an off-line schedulability analysis technique for the proposed scheduling algorithm. The simulation results show that our fault-tolerant scheduling framework can bring up to 81% improvement in supporting low-criticality service without sacrifice in the MC-schedulability compared with the existing techniques.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

Fault-tolerant scheduling
Run-time fault handling
Check-pointing
Safety-critical real-time system

Publication and Content Type

ref (subject category)
art (subject category)

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Chen, Gang
Guan, Nan
Huang, Kai
Wang, Yi
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NATURAL SCIENCES
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