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Cloud Broker and Cloudlet for Workflow Scheduling / by Chan-Hyun Youn, Min Chen, Patrizio Dazzi.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Youn, Chan-Hyun, author.
Chen, Min, author.
Dazzi, Patrizio, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
KAIST research series 2214-2541
KAIST Research Series, 2214-2541
Language:
English
Subjects (All):
Computer organization.
Computational intelligence.
Software engineering.
Application software.
Information technology.
Business--Data processing.
Business.
Computer Systems Organization and Communication Networks.
Computational Intelligence.
Software Engineering/Programming and Operating Systems.
Information Systems Applications (incl. Internet).
IT in Business.
Local Subjects:
Computer Systems Organization and Communication Networks.
Computational Intelligence.
Software Engineering/Programming and Operating Systems.
Information Systems Applications (incl. Internet).
IT in Business.
Physical Description:
1 online resource (IX, 212 pages) : 92 illustrations, 48 illustrations in color.
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users to realise the potential of an integrated broker system for scientific applications and the Internet of Things (IoT). Due to dynamic situations in user demand and cloud resource status, scalability has become crucial in the execution of complex scientific applications. Therefore, data analysts and computer scientists must grasp workflow management issues in order to better understand the characteristics of cloud resources, allocate these resources more efficiently and make critical decisions intelligently. Thus, this book addresses these issues through discussion of some novel approaches and engineering issues in cloud broker systems and cloudlets for workflow scheduling. This book closes the gaps between cloud programmers and scientific applications designers, describing the fundamentals of cloud broker system technology and the state-of-the-art applications in implementation and performance evaluation. The books gives details of scheduling structures and processes, providing guidance and inspiration for users including cloud programmers, application designers and decision makers with involvement in cloud resource management.
Contents:
1 Integrated Cloud Broker System and Its Experimental Evaluation
2 VM Placement via Resource Brokers in a Cloud Datacenter
3 Cost Adaptive Workflow Resource Broker in Cloud
4 A Cloud Broker System for Connected Car Services with an Integrated Simulation Framework
5 Mobile Device as Cloud Broker for Computation Offloading at Cloudlets
6 Opportunistic Task Scheduling over Co-Located Clouds
7 Mobility-Aware Resource Scheduling Cloudlets in Mobile Environment
8 Machine-learning based approaches for cloud brokering. .
Other Format:
Printed edition:
ISBN:
978-981-10-5071-8
9789811050718
Access Restriction:
Restricted for use by site license.

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