Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 12,00
Quantità: 1 disponibili
Aggiungi al carrello25 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Condizione: New.
Condizione: New.
Condizione: New. SUPER FAST SHIPPING.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 55,69
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 116.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 75,73
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 116 pages. 9.25x6.10x0.43 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 77,67
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 99 pages. 9.25x6.25x0.50 inches. In Stock.
Editore: Springer International Publishing, Springer International Publishing Feb 2019, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,68
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Editore: Springer International Publishing, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 39,79
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Editore: Springer International Publishing Feb 2019, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Berlin Springer International Publishing Springer Mrz 2018, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,85
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 77,46
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 116.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,90
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,55
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 116.
Editore: Springer International Publishing, 2019
ISBN 10: 3030103331 ISBN 13: 9783030103330
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 48,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Editore: Springer International Publishing, 2018
ISBN 10: 3319732129 ISBN 13: 9783319732121
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 48,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: 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.