Overview
- Provides cloud programmers and scientific application designers with the theoretical background required to make informed decisions
- Describes fundamentals of cloud broker system technology and workflows in detail and gives example of state-of-the-art applications
- Explains cost, resource and scheduling structures and decision-making processes with examples
- Includes supplementary material: sn.pub/extras
Part of the book series: KAIST Research Series (KAISTRS)
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Table of contents (8 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Cloud Broker and Cloudlet for Workflow Scheduling
Authors: Chan-Hyun Youn, Min Chen, Patrizio Dazzi
Series Title: KAIST Research Series
DOI: https://doi.org/10.1007/978-981-10-5071-8
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-5070-1Published: 07 July 2017
Softcover ISBN: 978-981-13-5311-6Published: 12 December 2018
eBook ISBN: 978-981-10-5071-8Published: 26 June 2017
Series ISSN: 2214-2541
Series E-ISSN: 2214-255X
Edition Number: 1
Number of Pages: IX, 212
Number of Illustrations: 44 b/w illustrations, 48 illustrations in colour
Topics: Computer Systems Organization and Communication Networks, Computational Intelligence, Software Engineering/Programming and Operating Systems, Information Systems Applications (incl. Internet), IT in Business