QoS provisioning of a task-scheduling algorithm for lightweight devices.

Saved in:
Bibliographic Details
Title: QoS provisioning of a task-scheduling algorithm for lightweight devices.
Authors: Kim, Seungku1 kimsk@cbnu.ac.kr
Source: Journal of Parallel & Distributed Computing. Sep2017, Vol. 107, p67-75. 9p.
Subjects: Computer operating system design & construction, Quality of service, Internet of things, Algorithms, Embedded computer systems
Abstract: Task scheduling is a main objective in operating system design. Many operating systems have been designed and applied to various systems. With the upcoming Internet of things, the requirements for the operating system will vary according to the application. We propose a round-robin-based scheduling algorithm to satisfy the quality of service (QoS) of real-time tasks. Many conventional scheduling algorithms have dealt with the real-time issue, but they still require improvement. Moreover, most assume the burst time is known beforehand, an unrealistic assumption in practical implementations. Thus, we present a heuristic method to predict the burst time of each task and a round-robin-based weighted scheduling algorithm providing QoS to real-time tasks for lightweight devices. The performance of the proposed scheduling algorithm is verified on an embedded system. Experimental results proved the QoS of this algorithm was satisfied. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Parallel & Distributed Computing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 123409247
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: QoS provisioning of a task-scheduling algorithm for lightweight devices.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Seungku%22">Kim, Seungku</searchLink><relatesTo>1</relatesTo><i> kimsk@cbnu.ac.kr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Parallel+%26+Distributed+Computing%22">Journal of Parallel & Distributed Computing</searchLink>. Sep2017, Vol. 107, p67-75. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computer+operating+system+design+%26+construction%22">Computer operating system design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Embedded+computer+systems%22">Embedded computer systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Task scheduling is a main objective in operating system design. Many operating systems have been designed and applied to various systems. With the upcoming Internet of things, the requirements for the operating system will vary according to the application. We propose a round-robin-based scheduling algorithm to satisfy the quality of service (QoS) of real-time tasks. Many conventional scheduling algorithms have dealt with the real-time issue, but they still require improvement. Moreover, most assume the burst time is known beforehand, an unrealistic assumption in practical implementations. Thus, we present a heuristic method to predict the burst time of each task and a round-robin-based weighted scheduling algorithm providing QoS to real-time tasks for lightweight devices. The performance of the proposed scheduling algorithm is verified on an embedded system. Experimental results proved the QoS of this algorithm was satisfied. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Parallel & Distributed Computing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=123409247
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jpdc.2017.04.010
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 67
    Subjects:
      – SubjectFull: Computer operating system design & construction
        Type: general
      – SubjectFull: Quality of service
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Embedded computer systems
        Type: general
    Titles:
      – TitleFull: QoS provisioning of a task-scheduling algorithm for lightweight devices.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kim, Seungku
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 07437315
          Numbering:
            – Type: volume
              Value: 107
          Titles:
            – TitleFull: Journal of Parallel & Distributed Computing
              Type: main
ResultId 1