An Efficient Backup-Overloading for Fault-Tolerant Scheduling of Real-Time Tasks [chapter]

R. Al-Omari, G. Manimaran, Arun K. Somani
<span title="">2000</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Many time-critical applications require dynamic scheduling with predictable performance. Tasks corresponding to these applications have deadlines to be met despite the presence of faults. In this paper, we propose a technique called dynamic grouping, to be used with backup overloading in a primary-backup based fault-tolerant dynamic scheduling algorithm in multiprocessor real-time systems. In dynamic grouping, the processors are dynamically grouped into logical groups in order to achieve e
more &raquo; ... overloading of backups, thereby improving the schedulability. We compare the performance of dynamic grouping with that of static grouping and no-grouping schemes through extensive simulation studies and show the e ectiveness of dynamic grouping.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45591-4_177">doi:10.1007/3-540-45591-4_177</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vkhlgyp7rrawzmjgecbbd2b3n4">fatcat:vkhlgyp7rrawzmjgecbbd2b3n4</a> </span>
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