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A Task Scheduling Model for Multi-CPU and Multi-Hard Disk Drive in Soft Real-time Systems
Azad University, Iran.ORCID iD: 0000-0002-3297-0189
Azad University, Iran.
Azad University, Iran.
2019 (English)In: International Journal of Information Technology and Computer Science, ISSN 2074-9007, E-ISSN 2074-9015, Vol. 11, no 1Article in journal (Other academic) Published
Abstract [en]

In recent years, by increasing CPU and I/O devices demands, running multiple tasks simultaneously becomes a crucial issue. This paper presents a new task scheduling algorithm for multi-CPU and multi-Hard Disk Drive (HDD) in soft Real-Time (RT) systems, which reduces the number of missed tasks. The aim of this paper is to execute more parallel tasks by considering an efficient trade-off between energy consumption and total execution time. For study purposes, we analyzed the proposed scheduling algorithm, named HCS (Hard disk drive and CPU Scheduling) in terms of the task set utilization, the total execution time, the average waiting time and the number of missed tasks from their deadlines. The results show that HCS algorithm improves the above mentioned criteria compared to the HCS_UE (Hard disk drive and CPU Scheduling _Unchanged Execution time) algorithm.

Place, publisher, year, edition, pages
Modern education and computer science press , 2019. Vol. 11, no 1
National Category
Information Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-88811DOI: 10.5815/ijitcs.2019.01.01OAI: oai:DiVA.org:lnu-88811DiVA, id: diva2:1346628
Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-08-28Bibliographically approved

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Mohseni, Zeynab

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  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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