Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carrito25 cm. XIII, 99 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence. Volume 759. Sprache: Englisch.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 116.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,48
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 68,72
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,13
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 75,63
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 116 pages. 9.25x6.10x0.43 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 99 pages. 9.25x6.25x0.50 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 84,69
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Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 57,68
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
Librería: preigu, Osnabrück, Alemania
EUR 50,35
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Añadir al carritoTaschenbuch. Condición: Neu. Optimized Cloud Based Scheduling | Rong Kun Jason Tan (u. a.) | Taschenbuch | xiii | Englisch | 2019 | Springer | EAN 9783030103330 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Buchpark, Trebbin, Alemania
EUR 49,64
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Feb 2019, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics. 116 pp. Englisch.
Idioma: Inglés
Publicado por Berlin Springer International Publishing Springer Mrz 2018, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics. 99 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 74,65
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 116.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 75,72
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 116.
Idioma: Inglés
Publicado por Springer International Publishing, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Librería: moluna, Greven, Alemania
EUR 48,37
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an improved design for service provisioning and allocation models in a hybrid cloud environmentProposes approaches for addressing scheduling and performance issues in big data analytics Showcases new algorithms for hybrid cl.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Librería: moluna, Greven, Alemania
EUR 48,74
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an improved design for service provisioning and allocation models in a hybrid cloud environmentProposes approaches for addressing scheduling and performance issues in big data analytics Showcases new algorithms for hybrid cl.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Feb 2019, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and showcases new algorithms for hybrid cloud scheduling. Scientific sectors such as bioinformatics, astronomy, high-energy physics, and Earth science are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability. However, there are numerous problems associated with the current service provisioning and allocation models, such as inefficient scheduling algorithms, overloaded memory overheads, excessive node delays and improper error handling of tasks, all of which need to be addressed to enhance the performance of big data analytics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.