Managing Distributed Cloud Applications and Infrastructure | A Self-Optimising Approach

Theo Lynn (u. a.)

ISBN 10: 3030398625 / ISBN 13: 9783030398620

Published by Springer International Publishing, 2020

About this Item

Managing Distributed Cloud Applications and Infrastructure | A Self-Optimising Approach | Theo Lynn (u. a.) | Buch | xxiii | Englisch | 2020 | Springer International Publishing | EAN 9783030398620 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 117907832

Bibliographic Details

• Title: Managing Distributed Cloud Applications and Infrastructure | A Self-Optimising Approach
• Publisher: Springer International Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 3030398625
• ISBN 13: 9783030398620
• Binding: Buch
• Condition: Neu
• Dimensions: 216W x 153H x 15D millimeters 216 millimeters width by 153 millimeters height by 15 millimeters depth
• Weight: 363 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 qualityof 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. 

About the Author

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.