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Managing Distributed Cloud Applications and Infrastructure A Self Optimising Approach 1st edition by Theo Lynn, John Mooney, JÃ¶rg Domaschka, Keith Ellis 3030398625 978-3030398620

Name: Managing Distributed Cloud Applications and Infrastructure A Self Optimising Approach 1st edition by Theo Lynn, John Mooney, JÃ¶rg Domaschka, Keith Ellis 3030398625 978-3030398620
SKU: EB-24382
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Original price was: $50.00.Current price is: $35.00.

Authors:Theo Lynn , Series:Management [310] , Author sort:Lynn, Theo , Languages:Languages:eng , Published:Published:Jul 2020 , Publisher:Palgrave Macmillan

SKU: EB-24382 Category: eBook PDF Tags: JÃ¶rg Domaschka, John Mooney, Keith Ellis, Managing Distributed, Theo Lynn

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ISBN 10: 3030398625
ISBN 13: 978-3030398620
Author: Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis

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.

Managing Distributed Cloud Applications and Infrastructure A Self Optimising Approach 1st Table of contents:

Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds
RECAP Data Acquisition and Analytics Methodology
Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications
Application Placement and Infrastructure Optimisation
Simulating Across the Cloud-to-Edge Continuum
Case Studies in Application Placement and Infrastructure Optimisation