Data-Intensive Computing : Architectures, Algorithms, and Applications
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| Title: | Data-Intensive Computing : Architectures, Algorithms, and Applications |
|---|---|
| Description: | The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice. |
| Authors: | Ian Gorton, Deborah K. Gracio |
| Resource Type: | eBook. |
| Subjects: | Data transmission systems, Software architecture, High performance computing, Database management, Computer storage devices |
| Categories: | COMPUTERS / System Administration / Storage & Retrieval |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data-Intensive Computing : Architectures, Algorithms, and Applications – Name: Abstract Label: Description Group: Ab Data: The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ian+Gorton%22">Ian Gorton</searchLink><br /><searchLink fieldCode="AR" term="%22Deborah+K%2E+Gracio%22">Deborah K. Gracio</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+storage+devices%22">Computer storage devices</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+System+Administration+%2F+Storage+%26+Retrieval%22">COMPUTERS / System Administration / Storage & Retrieval</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 004.5 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Data transmission systems Type: general – SubjectFull: Software architecture Type: general – SubjectFull: High performance computing Type: general – SubjectFull: Database management Type: general – SubjectFull: Computer storage devices Type: general Titles: – TitleFull: Data-Intensive Computing : Architectures, Algorithms, and Applications Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ian Gorton – PersonEntity: Name: NameFull: Deborah K. Gracio – PersonEntity: Name: NameFull: Ian Gorton – PersonEntity: Name: NameFull: Deborah K. Gracio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2013 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780521191951 – Type: isbn-electronic Value: 9781139775625 Titles: – TitleFull: Data-Intensive Computing : Architectures, Algorithms, and Applications Type: main |
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