Editors:
Explores the use of novel technologies in reliable capacity provisioning across distributed clouds
Presents a state-of-the-art approach and reference model for reliable capacity provisioning in distributed clouds
Includes data analytics (including machine learning), modelling, simulation, and application and infrastructure optimisation across a cloud-to-edge continuum
Provides case studies on novel approaches to application and infrastructure capacity planning in cloud computing, telecommunications, smart cities and big data analytics
Part of the book series: Palgrave Studies in Digital Business & Enabling Technologies (PSDBET)
Buying options
Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision.
This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities.
Keywords
- Analytics Models
- Data Acquisition
- Application Optimisation
- Infrastructure
- Distributed Clouds
- digital business
Editors and Affiliations
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Irish Institute of Digital Business, DCU Business School, Dublin, Ireland
Theo Lynn
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Graziadio Business School, Pepperdine University, Malibu, USA
John G. Mooney
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Institute of Information Resource Management, Ulm University, Ulm, Germany
Jörg Domaschka
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Intel Labs Europe, Dublin, Ireland
Keith A. Ellis
About the editors
Theo Lynn is Full Professor of Digital Business at DCU Business School, Ireland and Director of the Irish Institute of Digital Business.
John G. Mooney is Associate Professor of Information Systems and Technology Management at the Pepperdine Graziadio Business School, United States.
Jörg Domaschka is Senior Researcher and Group Manager at the Institute of Information Resource Management at Ulm University, Germany and Coordinator of the Horizon 2020 RECAP project.
Keith A. Ellis is Senior Research Scientist and Manager of Intel Labs Europe, Ireland.
Bibliographic Information
Book Title: Managing Distributed Cloud Applications and Infrastructure
Book Subtitle: A Self-Optimising Approach
Editors: Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis
Series Title: Palgrave Studies in Digital Business & Enabling Technologies
DOI: https://doi.org/10.1007/978-3-030-39863-7
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-3-030-39862-0Published: 21 July 2020
eBook ISBN: 978-3-030-39863-7Published: 20 July 2020
Series ISSN: 2662-1282
Series E-ISSN: 2662-1290
Edition Number: 1
Number of Pages: XXIII, 163
Number of Illustrations: 62 b/w illustrations
Topics: Innovation and Technology Management, e-Commerce and e-Business, Computer Engineering and Networks