Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study.
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| Title: | Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study. |
|---|---|
| Authors: | Requeno, José I.1 nrequeno@unizar.es, Merseguer, José1 jmerse@unizar.es, Bernardi, Simona1 simonab@unizar.es, Perez-Palacin, Diego1 diegop@unizar.es, Giotis, Giorgos2 g.giotis@atc.gr, Papanikolaou, Vasilis2 v.papanikolaou@atc.gr |
| Source: | Information Systems Frontiers. Feb2019, Vol. 21 Issue 1, p67-85. 19p. 8 Diagrams, 8 Charts, 6 Graphs. |
| Subjects: | Development of application software, Petri nets, Quantitative research, Information storage & retrieval systems, Unified modeling language |
| Abstract: | The development of Information Systems today faces the era of Big Data. Large volumes of information need to be processed in real-time, for example, for Facebook or Twitter analysis. This paper addresses the redesign of NewsAsset, a commercial product that helps journalists by providing services, which analyzes millions of media items from the social network in real-time. Technologies like Apache Storm can help enormously in this context. We have quantitatively analyzed the new design of NewsAsset to assess whether the introduction of Apache Storm can meet the demanding performance requirements of this media product. Our assessment approach, guided by the Unified Modeling Language (UML), takes advantage, for performance analysis, of the software designs already used for development. In addition, we converted UML into a domain-specific modeling language (DSML) for Apache Storm, thus creating a profile for Storm. Later, we transformed said DSML into an appropriate language for performance evaluation, specifically, stochastic Petri nets. The assessment ended with a successful software design that certainly met the scalability requirements of NewsAsset. [ABSTRACT FROM AUTHOR] |
| Copyright of Information Systems Frontiers 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: 135796711 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Requeno%2C+José+I%2E%22">Requeno, José I.</searchLink><relatesTo>1</relatesTo><i> nrequeno@unizar.es</i><br /><searchLink fieldCode="AR" term="%22Merseguer%2C+José%22">Merseguer, José</searchLink><relatesTo>1</relatesTo><i> jmerse@unizar.es</i><br /><searchLink fieldCode="AR" term="%22Bernardi%2C+Simona%22">Bernardi, Simona</searchLink><relatesTo>1</relatesTo><i> simonab@unizar.es</i><br /><searchLink fieldCode="AR" term="%22Perez-Palacin%2C+Diego%22">Perez-Palacin, Diego</searchLink><relatesTo>1</relatesTo><i> diegop@unizar.es</i><br /><searchLink fieldCode="AR" term="%22Giotis%2C+Giorgos%22">Giotis, Giorgos</searchLink><relatesTo>2</relatesTo><i> g.giotis@atc.gr</i><br /><searchLink fieldCode="AR" term="%22Papanikolaou%2C+Vasilis%22">Papanikolaou, Vasilis</searchLink><relatesTo>2</relatesTo><i> v.papanikolaou@atc.gr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+Systems+Frontiers%22">Information Systems Frontiers</searchLink>. Feb2019, Vol. 21 Issue 1, p67-85. 19p. 8 Diagrams, 8 Charts, 6 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Development+of+application+software%22">Development of application software</searchLink><br /><searchLink fieldCode="DE" term="%22Petri+nets%22">Petri nets</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Unified+modeling+language%22">Unified modeling language</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The development of Information Systems today faces the era of Big Data. Large volumes of information need to be processed in real-time, for example, for Facebook or Twitter analysis. This paper addresses the redesign of NewsAsset, a commercial product that helps journalists by providing services, which analyzes millions of media items from the social network in real-time. Technologies like Apache Storm can help enormously in this context. We have quantitatively analyzed the new design of NewsAsset to assess whether the introduction of Apache Storm can meet the demanding performance requirements of this media product. Our assessment approach, guided by the Unified Modeling Language (UML), takes advantage, for performance analysis, of the software designs already used for development. In addition, we converted UML into a domain-specific modeling language (DSML) for Apache Storm, thus creating a profile for Storm. Later, we transformed said DSML into an appropriate language for performance evaluation, specifically, stochastic Petri nets. The assessment ended with a successful software design that certainly met the scalability requirements of NewsAsset. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information Systems Frontiers 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/s10796-018-9851-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 67 Subjects: – SubjectFull: Development of application software Type: general – SubjectFull: Petri nets Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Unified modeling language Type: general Titles: – TitleFull: Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Requeno, José I. – PersonEntity: Name: NameFull: Merseguer, José – PersonEntity: Name: NameFull: Bernardi, Simona – PersonEntity: Name: NameFull: Perez-Palacin, Diego – PersonEntity: Name: NameFull: Giotis, Giorgos – PersonEntity: Name: NameFull: Papanikolaou, Vasilis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 13873326 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Information Systems Frontiers Type: main |
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