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Asymptotic Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine

Fernández Anta, Antonio and Georgiou, Chryssis and Kowalski, Dariusz R. and Zavou, Elli (2014) Asymptotic Competitive Analysis of Task Scheduling Algorithms on a Fault-Prone Machine. In: The 1st Young Researcher Workshop on Automata, Languages and Programming (YR-ICALP 2014), 7 July 2014, Copenhagen, Denmark.

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Abstract

Reliable task execution in systems with machines that are prone to unpredictable crashes and restarts is challenging and of high importance. However, not much work exists on the worst case analysis of such systems. In this work, we analyze the fault-tolerant properties of four popular scheduling algorithms, Longest In System, Shortest In System, Largest Processing Time and Shortest Processing Time, under worst case scenarios on a fault-prone machine. We define three metrics for the evaluation and comparison of their competitive performance in the long run, namely, completed cost, pending cost and latency. We also investigate the effect of resource augmentation by increasing the speed of the machine. Finally, we compare their behavior for different speed intervals concluding that each of them behaves better than the rest under different circumstances and none is clearly the best.

Item Type: Conference or Workshop Papers (Invited Talk)
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Elli Zavou
Date Deposited: 09 Jan 2015 13:22
Last Modified: 04 May 2017 08:21
URI: http://eprints.networks.imdea.org/id/eprint/919

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