Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.sysarc.2019.101688 | Journal of Systems Architecture |
Keywords | Field | DocType |
Fault-tolerant scheduling,Run-time fault handling,Check-pointing,Safety-critical real-time system | Scheduling (computing),Computer science,Workload,Fault handling,Real-time computing,Fault tolerance,Software,Criticality,Distributed computing | Journal |
Volume | ISSN | Citations |
102 | 1383-7621 | 3 |
PageRank | References | Authors |
0.39 | 0 | 4 |