Overview
- Includes recent research on cloud computing for optimization
- Presents the state-of-the-art computing paradigms and advances in applications
- Proposes future directions for both the theories and applications of optimization techniques in cloud computing in various fields
- Highlights the methodologies for optimizing resource utilization, make-span, and energy consumption in cloud environment
Part of the book series: Studies in Big Data (SBD, volume 39)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (18 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Cloud Computing for Optimization: Foundations, Applications, and Challenges
Editors: Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-73676-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-73675-4Published: 06 March 2018
Softcover ISBN: 978-3-030-08832-3Published: 08 February 2019
eBook ISBN: 978-3-319-73676-1Published: 26 February 2018
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XIV, 463
Number of Illustrations: 32 b/w illustrations, 112 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Big Data