Optimized cloud based scheduling / Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu.
2018
QA76.585
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Can lend chapters, not whole ebooks
Details
Title
Optimized cloud based scheduling / Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu.
Author
Tan, Rong Kun Jason, author.
ISBN
9783319732145 (electronic book)
3319732145 (electronic book)
9783319732121
3319732129
3319732145 (electronic book)
9783319732121
3319732129
Published
Cham, Switzerland : Springer, 2018.
Language
English
Description
1 online resource (xiii, 99 pages) : illustrations.
Item Number
10.1007/978-3-319-73214-5 doi
Call Number
QA76.585
Dewey Decimal Classification
004.67/82
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 27, 2018).
Added Author
Leong, John A. author.
Sidhu, Amandeep S., author.
Sidhu, Amandeep S., author.
Series
Studies in computational intelligence. Data, semantics and cloud computing ; v. 759.
Available in Other Form
Print version: 9783319732121
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Table of Contents
Introduction
Background
Benchmarking
Computation of Large Datasets
Optimized Online Scheduling Algorithms.
Background
Benchmarking
Computation of Large Datasets
Optimized Online Scheduling Algorithms.