Optimized Cloud Based Scheduling: 759 (Studies in Computational Intelligence, 759) - Tapa dura

Libro 274 de 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, 759)
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ISBN 10: 3319732129 ISBN 13: 9783319732121
Editorial: Springer, 2018

Sinopsis

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319732129
ISBN 13 
9783319732121
Encuadernación
Tapa dura
Número de páginas
116
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

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

Edición Destacada

ISBN 10:  3030103331 ISBN 13:  9783030103330
Editorial: Springer, 2019
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