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

Managing Distributed Cloud Applications and Infrastructure A Self-Optimising Approach

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 si...

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Detalles Bibliográficos
Otros Autores: Lynn, Theo (Editor), Lynn, Theo. editor (editor), Mooney, John G. editor, Domaschka, Jörg. editor, Ellis, K. A. (Keith A.) editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer Nature 2020
2020.
Edición:1st ed. 2020.
Colección:Palgrave Studies in Digital Business & Enabling Technologies,
Materias:
Management.
Industrial management.
E-commerce.
Computer engineering.
Innovation/Technology Management.
e-Commerce/e-business.
Computer Engineering.
Innovation/Technology Management
e-Commerce/e-business
Computer Engineering
Business and Management
e-Commerce and e-Business
Computer Hardware
Analytics Models
Data Acquisition
Application Optimisation
Infrastructure
Distributed Clouds
digital business
Research & development management
Industrial applications of scientific research & technological innovation
Business applications
E-commerce: business aspects
Computer science
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009428424106719
Descripción
Sumario: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. .
Descripción Física:1 online resource (XXIII, 163 p. 62 illus.)
ISBN:9783030398637

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