2015
DOI: 10.1109/tla.2015.7404899
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Computational Cost Reduction for Real-Time Schedulability Tests Algorithms

Abstract: This paper focuses on reducing the computational cost of iterative algorithms used to evaluate the schedulability of Real-Time Systems. These algorithms calculate the worst case response time of each task. Through simulations it is found that the proposed new algorithm produces a significant reduction in the average temporal cost, reaching in some cases a reduction of O(n 2 ) to O(n.log(n)), with respect to classical response time evaluation algorithms.

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Cited by 2 publications
(1 citation statement)
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“…Measurement of heart rate and observation on electrocardiogram (ECG) have been widely used not only in the field of medical treatment but also in the public's daily lives [1][2][3] . People sometimes need to detect their heart rate, for example, while long-distance running, to ensure their bodied are in safety [4] .…”
Section: Introductionmentioning
confidence: 99%
“…Measurement of heart rate and observation on electrocardiogram (ECG) have been widely used not only in the field of medical treatment but also in the public's daily lives [1][2][3] . People sometimes need to detect their heart rate, for example, while long-distance running, to ensure their bodied are in safety [4] .…”
Section: Introductionmentioning
confidence: 99%