Screen LibraryCloud Computing : Principles, Systems and Applications /
This practically-focused text/reference presents a comprehensive overview of the present state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. Compiled as a series of selected papers fro...
Saved in:
| Corporate Authors: | |
|---|---|
| Group Author: | ; |
| Published: |
Springer International Publishing : Imprint: Springer,
|
| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Edition: | Second edition. |
| Series: |
Computer Communications and Networks,
|
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-54645-2 |
| Summary: |
This practically-focused text/reference presents a comprehensive overview of the present state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. Compiled as a series of selected papers from leading Cloud researchers, this new edition recognizes the relative maturity of Cloud, as offers contrast to the first edition, and explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems |
| Carrier Form: | 1 online resource : illustrations. |
| ISBN: | 9783319546452 |
| Index Number: | QA76 |
| CLC: | TP302 |
| Contents: | Part I: General Principles -- The Rise of Cloud Computing in the Era of Emerging Networked Society -- Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All? -- A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges -- Part II: Science Cloud -- Exploring Cloud Elasticity in Scientific Applications -- Clouds and Reproducibility: A Way to Go to Scientific Experiments? -- Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights -- Part III: Data Cloud -- Implementing MapReduce Applications in Dynamic Cloud En |