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Optimized Cloud Based Scheduling

Name: Optimized Cloud Based Scheduling
Brand: Springer International Publishing AG
SKU: 18644555
Price: 21026 HUF
Availability: InStock
Author: Rong Kun Jason Tan
ISBN: 9783319732121

Rong Kun Jason Tan

John A. Leong

Amandeep S. Sidhu

Language

English

Book Hardback

Libristo code: 18644555

Publishers Springer International Publishing AG, March 2018

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

Libristo code: 18644555

145 b

21 026 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.