Cloud Broker and Cloudlet for Workflow Scheduling

Nonfiction, Computers, Computer Hardware, Input-Output Equipment, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Cloud Broker and Cloudlet for Workflow Scheduling by Chan-Hyun Youn, Min Chen, Patrizio Dazzi, Springer Singapore
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Author: Chan-Hyun Youn, Min Chen, Patrizio Dazzi ISBN: 9789811050718
Publisher: Springer Singapore Publication: June 26, 2017
Imprint: Springer Language: English
Author: Chan-Hyun Youn, Min Chen, Patrizio Dazzi
ISBN: 9789811050718
Publisher: Springer Singapore
Publication: June 26, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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