Automatic conformance checking for migrating software systems to cloud infrastructures and platforms.
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| Title: | Automatic conformance checking for migrating software systems to cloud infrastructures and platforms. |
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| Authors: | Frey, Sören1, Hasselbring, Wilhelm1, Schnoor, Benjamin1 |
| Source: | Journal of Software: Evolution & Process. Oct2013, Vol. 25 Issue 10, p1089-1115. 27p. |
| Subjects: | Systems migration, Cloud computing, Software as a service, Data mining, Software measurement, Prototype research |
| Abstract: | The migration of software systems to IaaS (infrastructure as a service)- or PaaS (platform as a service)-based cloud environments enables SaaS providers to benefit from the cloud's merits, such as smoothly scaling up and down existing applications. Our approach, CloudMIG, aims at supporting SaaS providers to perform those migrations. Here, validating the specific constraints that are imposed by a cloud environment constitutes an important early-phase activity. For example, the access to the file system, number of files, or calls to specific methods may be restricted by cloud providers. Those constraints have to be considered when evaluating the suitability of competing cloud environment candidates. In this paper, we describe CloudMIG's corresponding parts: a generic cloud environment model that incorporates these constraints and appropriate violation detection mechanisms. A software system's conformance can be examined with the assistance of constraint validators. They operate on extracted Knowledge Discovery Meta-Model-based system models and can, among others, apply metrics formulated with the Software Metrics Meta-Model through our metrics execution engine. Additional constraint validators can be plugged into the validation process as needed. In this context, we implemented a prototype and modeled the PaaS environment Google App Engine for Java. We report on a quantitative evaluation regarding the detected constraint violations of five open-source systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell 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: 92530501 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automatic conformance checking for migrating software systems to cloud infrastructures and platforms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Frey%2C+Sören%22">Frey, Sören</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hasselbring%2C+Wilhelm%22">Hasselbring, Wilhelm</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Schnoor%2C+Benjamin%22">Schnoor, Benjamin</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Software%3A+Evolution+%26+Process%22">Journal of Software: Evolution & Process</searchLink>. Oct2013, Vol. 25 Issue 10, p1089-1115. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Systems+migration%22">Systems migration</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Software+as+a+service%22">Software as a service</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Software+measurement%22">Software measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Prototype+research%22">Prototype research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The migration of software systems to IaaS (infrastructure as a service)- or PaaS (platform as a service)-based cloud environments enables SaaS providers to benefit from the cloud's merits, such as smoothly scaling up and down existing applications. Our approach, CloudMIG, aims at supporting SaaS providers to perform those migrations. Here, validating the specific constraints that are imposed by a cloud environment constitutes an important early-phase activity. For example, the access to the file system, number of files, or calls to specific methods may be restricted by cloud providers. Those constraints have to be considered when evaluating the suitability of competing cloud environment candidates. In this paper, we describe CloudMIG's corresponding parts: a generic cloud environment model that incorporates these constraints and appropriate violation detection mechanisms. A software system's conformance can be examined with the assistance of constraint validators. They operate on extracted Knowledge Discovery Meta-Model-based system models and can, among others, apply metrics formulated with the Software Metrics Meta-Model through our metrics execution engine. Additional constraint validators can be plugged into the validation process as needed. In this context, we implemented a prototype and modeled the PaaS environment Google App Engine for Java. We report on a quantitative evaluation regarding the detected constraint violations of five open-source systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell 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=92530501 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/smr.582 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1089 Subjects: – SubjectFull: Systems migration Type: general – SubjectFull: Cloud computing Type: general – SubjectFull: Software as a service Type: general – SubjectFull: Data mining Type: general – SubjectFull: Software measurement Type: general – SubjectFull: Prototype research Type: general Titles: – TitleFull: Automatic conformance checking for migrating software systems to cloud infrastructures and platforms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Frey, Sören – PersonEntity: Name: NameFull: Hasselbring, Wilhelm – PersonEntity: Name: NameFull: Schnoor, Benjamin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 20477473 Numbering: – Type: volume Value: 25 – Type: issue Value: 10 Titles: – TitleFull: Journal of Software: Evolution & Process Type: main |
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