Storage allocation scheme for virtual instances of cloud computing.
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| Title: | Storage allocation scheme for virtual instances of cloud computing. |
|---|---|
| Authors: | Kolhar, Manjur1 m_kolhar@yahoo.com, Abd El-atty, Saied, Rahmath, Mohammed1 |
| Source: | Neural Computing & Applications. Jun2017, Vol. 28 Issue 6, p1397-1404. 8p. |
| Subjects: | Dynamic storage allocation (Computer science), Virtual reality, Cloud computing, Information retrieval, Algorithms |
| Abstract: | Cloud computing delivers resources and services through virtual machines on a pay-as-you-go basis. The allocation of storage space to users is usually determined by means of open allocation mechanisms that cannot guarantee an efficient allocation. Current allocation mechanisms do not consider user requests when making provisioning decisions. In other words, they assume that the storage spaces are fixed. In this study, we propose an algorithm for allocating storage spaces based on the requests of users. We present a unified storage allocation scheme (USAS) for cloud computing. USAS is a dynamic storage allocation framework for unlimited, limited, and free users. Our proposed approach is based on a storage partitioning policy, and we have compared our proposed scheme with open storage scheme and fixed storage scheme with common partition. We show through simulation study that USAS dynamically allocates space for different user requirements for all traffic loads. [ABSTRACT FROM AUTHOR] |
| Copyright of Neural Computing & Applications 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: 123691441 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Storage allocation scheme for virtual instances of cloud computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kolhar%2C+Manjur%22">Kolhar, Manjur</searchLink><relatesTo>1</relatesTo><i> m_kolhar@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Abd+El-atty%2C+Saied%22">Abd El-atty, Saied</searchLink><br /><searchLink fieldCode="AR" term="%22Rahmath%2C+Mohammed%22">Rahmath, Mohammed</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>. Jun2017, Vol. 28 Issue 6, p1397-1404. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Dynamic+storage+allocation+%28Computer+science%29%22">Dynamic storage allocation (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cloud computing delivers resources and services through virtual machines on a pay-as-you-go basis. The allocation of storage space to users is usually determined by means of open allocation mechanisms that cannot guarantee an efficient allocation. Current allocation mechanisms do not consider user requests when making provisioning decisions. In other words, they assume that the storage spaces are fixed. In this study, we propose an algorithm for allocating storage spaces based on the requests of users. We present a unified storage allocation scheme (USAS) for cloud computing. USAS is a dynamic storage allocation framework for unlimited, limited, and free users. Our proposed approach is based on a storage partitioning policy, and we have compared our proposed scheme with open storage scheme and fixed storage scheme with common partition. We show through simulation study that USAS dynamically allocates space for different user requirements for all traffic loads. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neural Computing & Applications 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/s00521-015-2173-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1397 Subjects: – SubjectFull: Dynamic storage allocation (Computer science) Type: general – SubjectFull: Virtual reality Type: general – SubjectFull: Cloud computing Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: Storage allocation scheme for virtual instances of cloud computing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kolhar, Manjur – PersonEntity: Name: NameFull: Abd El-atty, Saied – PersonEntity: Name: NameFull: Rahmath, Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 28 – Type: issue Value: 6 Titles: – TitleFull: Neural Computing & Applications Type: main |
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