Social spider foraging-based optimal resource management approach for future cloud.
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| Title: | Social spider foraging-based optimal resource management approach for future cloud. |
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| Authors: | Abrol, Preeti1 (AUTHOR) preetikpk@gmail.com, Gupta, Savita2 (AUTHOR) |
| Source: | Journal of Supercomputing. Mar2020, Vol. 76 Issue 3, p1880-1902. 23p. |
| Subjects: | Resource management, Heterogeneous distributed computing, Foraging behavior, Spider behavior, Clutter (Radar) |
| Abstract: | With the expansion of computing infrastructure of heterogeneous and distributed environment, resource management has become a big challenge. In a cloud computing environment, problems of management of resources with the tasks are encountered. Resources are the backbone of cloud, and it is very important to handle the issue of resource management efficiently. Unfortunately, the existing resource management policies, frameworks, and mechanisms are proved ineffective to handle these applications and resources. So to provide better performance of the application, the aforementioned characteristics must be addressed effectively. This paper proposes an approach that targets the maximization of server capacity by managing the resources properly, hence improving the performance of resources. In a hierarchical multilayer cloud framework, the resource management layer determines the utilization of the task set and admitted utilization of virtual machines that guarantees performance. A new novel nature inspired algorithm based on the foraging behavior of the social spider is implemented to increase the efficiency and effectiveness. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 142316673 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Social spider foraging-based optimal resource management approach for future cloud. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abrol%2C+Preeti%22">Abrol, Preeti</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> preetikpk@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Savita%22">Gupta, Savita</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Mar2020, Vol. 76 Issue 3, p1880-1902. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Resource+management%22">Resource management</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneous+distributed+computing%22">Heterogeneous distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Foraging+behavior%22">Foraging behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Spider+behavior%22">Spider behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Clutter+%28Radar%29%22">Clutter (Radar)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the expansion of computing infrastructure of heterogeneous and distributed environment, resource management has become a big challenge. In a cloud computing environment, problems of management of resources with the tasks are encountered. Resources are the backbone of cloud, and it is very important to handle the issue of resource management efficiently. Unfortunately, the existing resource management policies, frameworks, and mechanisms are proved ineffective to handle these applications and resources. So to provide better performance of the application, the aforementioned characteristics must be addressed effectively. This paper proposes an approach that targets the maximization of server capacity by managing the resources properly, hence improving the performance of resources. In a hierarchical multilayer cloud framework, the resource management layer determines the utilization of the task set and admitted utilization of virtual machines that guarantees performance. A new novel nature inspired algorithm based on the foraging behavior of the social spider is implemented to increase the efficiency and effectiveness. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Supercomputing 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: 10.1007/s11227-018-2372-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1880 Subjects: – SubjectFull: Resource management Type: general – SubjectFull: Heterogeneous distributed computing Type: general – SubjectFull: Foraging behavior Type: general – SubjectFull: Spider behavior Type: general – SubjectFull: Clutter (Radar) Type: general Titles: – TitleFull: Social spider foraging-based optimal resource management approach for future cloud. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abrol, Preeti – PersonEntity: Name: NameFull: Gupta, Savita IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 76 – Type: issue Value: 3 Titles: – TitleFull: Journal of Supercomputing Type: main |
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