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Optimized Cloud Based Scheduling

Name: Optimized Cloud Based Scheduling
Brand: Springer Nature Switzerland AG
SKU: 21359352
Price: 20609 HUF
Availability: InStock
Author: John A. Leong
ISBN: 9783030103330

John A. Leong

Amandeep S. Sidhu

Rong Kun Jason Tan

Language

English

Book Paperback

Libristo code: 21359352

Publishers Springer Nature Switzerland AG, February 2019

This book presents an improved design for service provisioning and allocation models that are valida... Full description

Libristo code: 21359352

136 b

20 609 Ft

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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.