Method and Algorithms for Adaptive Multiagent Resource Scheduling in Heterogeneous Distributed Computing Environments.
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| Title: | Method and Algorithms for Adaptive Multiagent Resource Scheduling in Heterogeneous Distributed Computing Environments. |
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| Authors: | Kalyaev, I. A.1 (AUTHOR) igor@kalyaev.net, Kalyaev, A. I.1 (AUTHOR) anatoly@kalyaev.net |
| Source: | Automation & Remote Control. Aug2022, Vol. 83 Issue 8, p1228-1245. 18p. |
| Subjects: | Heterogeneous distributed computing, Algorithms, Scheduling, Cloud computing, Computer scheduling |
| Abstract: | This article deals with the creation of new methods and algorithms for resource scheduling in heterogeneous distributed computing systems using the example of cloud computing environments (CCEs) that reduce the execution time of many incoming tasks by using those computing resources which give the highest real performance in relation to a specific task received. To this end, it is proposed to apply a multiagent approach to organizing the scheduling process: each element of the CCE includes a software agent that has the most complete and up-to-date information about the features of its computer, and the set of these agents jointly select the most appropriate tasks and subtasks taking into account the available information. The principles of construction and the method of operation of the adaptive multiagent CCE resource manager and the algorithms for the operation of resource agents and tasks are described, and the efficiency of the algorithms developed is studied using a distributed software model. [ABSTRACT FROM AUTHOR] |
| Copyright of Automation & Remote Control is the property of Springer Nature 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 159161922 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Method and Algorithms for Adaptive Multiagent Resource Scheduling in Heterogeneous Distributed Computing Environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kalyaev%2C+I%2E+A%2E%22">Kalyaev, I. A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> igor@kalyaev.net</i><br /><searchLink fieldCode="AR" term="%22Kalyaev%2C+A%2E+I%2E%22">Kalyaev, A. I.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anatoly@kalyaev.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Automation+%26+Remote+Control%22">Automation & Remote Control</searchLink>. Aug2022, Vol. 83 Issue 8, p1228-1245. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Heterogeneous+distributed+computing%22">Heterogeneous distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+scheduling%22">Computer scheduling</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article deals with the creation of new methods and algorithms for resource scheduling in heterogeneous distributed computing systems using the example of cloud computing environments (CCEs) that reduce the execution time of many incoming tasks by using those computing resources which give the highest real performance in relation to a specific task received. To this end, it is proposed to apply a multiagent approach to organizing the scheduling process: each element of the CCE includes a software agent that has the most complete and up-to-date information about the features of its computer, and the set of these agents jointly select the most appropriate tasks and subtasks taking into account the available information. The principles of construction and the method of operation of the adaptive multiagent CCE resource manager and the algorithms for the operation of resource agents and tasks are described, and the efficiency of the algorithms developed is studied using a distributed software model. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Automation & Remote Control is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1134/S0005117922080069 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1228 Subjects: – SubjectFull: Heterogeneous distributed computing Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Cloud computing Type: general – SubjectFull: Computer scheduling Type: general Titles: – TitleFull: Method and Algorithms for Adaptive Multiagent Resource Scheduling in Heterogeneous Distributed Computing Environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kalyaev, I. A. – PersonEntity: Name: NameFull: Kalyaev, A. I. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00051179 Numbering: – Type: volume Value: 83 – Type: issue Value: 8 Titles: – TitleFull: Automation & Remote Control Type: main |
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