Multi-Granular Application Management Platform and Multi-Core-Aware Parallel Scheduling Model.
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| Title: | Multi-Granular Application Management Platform and Multi-Core-Aware Parallel Scheduling Model. |
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| Authors: | Wei-Hua Bai1,2, Jian-Qing Xi1, Shao-Wei Huang2, Jia-Xian Zhu2 |
| Source: | Metallurgical & Mining Industry. 2015, Issue 9, p829-842. 14p. |
| Subjects: | Web services, Application software research, Parallel scheduling (Computer scheduling) |
| Abstract: | This study proposes a novel multi-granular application management platform between PaaS and IaaS layers that uses application virtualization techniques. A multi-core-aware parallel scheduling model is then investigated on the platform. Assisted by fine-grained application units, new functions can be created by combining the application units in different granularities based on business requirements. The multi-core-aware parallel scheduling model was developed to process application requests, and not only increases system flexibility and applicability but also improves fine-grained computing resource allocation, resource utilization of the fundamental infrastructure, and system throughput. [ABSTRACT FROM AUTHOR] |
| Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA Ltd. 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: 115961946 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-Granular Application Management Platform and Multi-Core-Aware Parallel Scheduling Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wei-Hua+Bai%22">Wei-Hua Bai</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Jian-Qing+Xi%22">Jian-Qing Xi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shao-Wei+Huang%22">Shao-Wei Huang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Jia-Xian+Zhu%22">Jia-Xian Zhu</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Metallurgical+%26+Mining+Industry%22">Metallurgical & Mining Industry</searchLink>. 2015, Issue 9, p829-842. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Web+services%22">Web services</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software+research%22">Application software research</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+scheduling+%28Computer+scheduling%29%22">Parallel scheduling (Computer scheduling)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study proposes a novel multi-granular application management platform between PaaS and IaaS layers that uses application virtualization techniques. A multi-core-aware parallel scheduling model is then investigated on the platform. Assisted by fine-grained application units, new functions can be created by combining the application units in different granularities based on business requirements. The multi-core-aware parallel scheduling model was developed to process application requests, and not only increases system flexibility and applicability but also improves fine-grained computing resource allocation, resource utilization of the fundamental infrastructure, and system throughput. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA Ltd. 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=115961946 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 829 Subjects: – SubjectFull: Web services Type: general – SubjectFull: Application software research Type: general – SubjectFull: Parallel scheduling (Computer scheduling) Type: general Titles: – TitleFull: Multi-Granular Application Management Platform and Multi-Core-Aware Parallel Scheduling Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wei-Hua Bai – PersonEntity: Name: NameFull: Jian-Qing Xi – PersonEntity: Name: NameFull: Shao-Wei Huang – PersonEntity: Name: NameFull: Jia-Xian Zhu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 20760507 Numbering: – Type: issue Value: 9 Titles: – TitleFull: Metallurgical & Mining Industry Type: main |
| ResultId | 1 |
