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Managing distributed cloud applicati...

Lynn, Theo.

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Managing distributed cloud applications and infrastructure = a self-optimising approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Managing distributed cloud applications and infrastructure/ edited by Theo Lynn ... [et al.].
Reminder of title:	a self-optimising approach /
other author:	Lynn, Theo.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xxiii, 163 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1 -- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds -- Chapter 2 -- RECAP Data Acquisition and Analytics Methodology -- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications -- Chapter 4 - Application Placement and Infrastructure Optimisation -- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum -- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation.
Contained By:	Springer Nature eBook
Subject:	Cloud computing - Management. -
Online resource:	https://doi.org/10.1007/978-3-030-39863-7
ISBN:	9783030398637

Managing distributed cloud applications and infrastructure = a self-optimising approach /
Managing distributed cloud applications and infrastructurea self-optimising approach /[electronic resource] :edited by Theo Lynn ... [et al.]. - Cham :Springer International Publishing :2020. - xxiii, 163 p. :ill., digital ;24 cm. - Palgrave studies in digital business & enabling technologies,2662-1282. - Palgrave studies in digital business & enabling technologies..

Chapter 1 -- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds -- Chapter 2 -- RECAP Data Acquisition and Analytics Methodology -- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications -- Chapter 4 - Application Placement and Infrastructure Optimisation -- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum -- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation.

Open access.

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.

ISBN: 9783030398637

Standard No.: 10.1007/978-3-030-39863-7doiSubjects--Topical Terms:

2018188
Cloud computing
--Management.

LC Class. No.: QA76.585 / .M363 2020

Dewey Class. No.: 004.6782

Managing distributed cloud applications and infrastructure = a self-optimising approach /
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505 0 $a Chapter 1 -- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds -- Chapter 2 -- RECAP Data Acquisition and Analytics Methodology -- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications -- Chapter 4 - Application Placement and Infrastructure Optimisation -- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum -- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation.
506 $a Open access.
520 $a 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.
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