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<p><b>Abstract</b>—In this paper, we consider soft real-time systems with redundant <it>off-the-shelf</it> processing components (e.g., CPU, disk, network), and show how applications can exploit the redundancy to improve the system's ability of meeting response time goals (soft deadlines). We consider two scheduling policies, one that evenly distributes load (<it>Balance</it>), and one that partitions load according to job slackness (<it>Chop</it>). We evaluate the effectiveness of these policies through analysis and simulation. Our results show that by intelligently distributing jobs by their slackness amount the servers, <it>Chop</it> can significantly improve real-time performance.</p>
Real-time systems, scheduling, dual servers, soft deadlines, distributed systems.

B. Kao and H. Garcia-Molina, "Scheduling Soft Real-Time Jobs Over Dual Non-Real-Time Servers," in IEEE Transactions on Parallel & Distributed Systems, vol. 7, no. , pp. 56-68, 1996.
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