Optimized Cloud Based Scheduling: 759 (Studies in Computational Intelligence) - Hardcover

Buch 274 von 538: Studies in Computational Intelligence

Sidhu, Amandeep S.; Leong, John A.; Tan, Rong Kun Jason

 
9783319732121: Optimized Cloud Based Scheduling: 759 (Studies in Computational Intelligence)
Hardcover
ISBN 10: 3319732129 ISBN 13: 9783319732121
Verlag: Springer, 2018

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319732129
ISBN 13 
9783319732121
Einband
Tapa dura
Anzahl der Seiten
116
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

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9783030103330: Optimized Cloud Based Scheduling: 759 (Data, Semantics and Cloud Computing)

Vorgestellte Ausgabe

ISBN 10:  3030103331 ISBN 13:  9783030103330
Verlag: Springer, 2019
Softcover