2013
DOI: 10.2478/mms-2013-0008
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A New Elastic Scheduling Task Model in the Node of a Control and Measurement System

Abstract: The paper presents a new elastic scheduling task model which has been used in the uniprocessor node of a control measuring system. This model allows the selection of a new set of periods for the occurrence of tasks executed in the node of a system in the case when it is necessary to perform additional aperiodic tasks or there is a need to change the time parameters of existing tasks. Selection of periods is performed by heuristic algorithms. This paper presents the results of the experimental use of an elastic… Show more

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Cited by 2 publications
(4 citation statements)
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“…Computational complexity determined by the number of determinations of the fitness function was compared. It has been applied for various input data sets which are described in the work [7] and [8]. The various timing parameters was prepared for 10 measurement scenarios.…”
Section: Algorithm For Tasks Periods Selecting In the Mcs Nodementioning
confidence: 99%
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“…Computational complexity determined by the number of determinations of the fitness function was compared. It has been applied for various input data sets which are described in the work [7] and [8]. The various timing parameters was prepared for 10 measurement scenarios.…”
Section: Algorithm For Tasks Periods Selecting In the Mcs Nodementioning
confidence: 99%
“…In each of the scenarios were used different input parameters: T nom , T max , C and vwf. Some of the data used in each scenario was derived from the literature (scenario 2 is taken from [7], the scenarios from 5 to 9 are taken from [4]).…”
Section: Algorithm For Tasks Periods Selecting In the Mcs Nodementioning
confidence: 99%
See 1 more Smart Citation
“…The author proposed selection of the power settings to individual nodes based on a static task scheduling model. Based on the results of researches [29,30], in this article an elastic task model scheduling used for energy management in MSG is proposed .…”
Section: S Mart Grid -Definitions and The Problem Present A Tionmentioning
confidence: 99%