2020_Book_ManagingDistributedCloudApplic.pdf

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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Γλώσσα:English
Έκδοση: Springer Nature 2020
Διαθέσιμο Online:https://www.springer.com/9783030398637
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spelling oapen-20.500.12657-412752020-08-14T01:17:13Z Managing Distributed Cloud Applications and Infrastructure Lynn, Theo Mooney, John G. Domaschka, Jörg Ellis, Keith A. 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 bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV6 Research & development management bic Book Industry Communication::U Computing & information technology::UF Business applications bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2020-08-13T11:53:31Z 2020-08-13T11:53:31Z 2020 book ONIX_20200813_9783030398637_17 https://library.oapen.org/handle/20.500.12657/41275 eng Palgrave Studies in Digital Business & Enabling Technologies application/pdf n/a 2020_Book_ManagingDistributedCloudApplic.pdf https://www.springer.com/9783030398637 Springer Nature Palgrave Macmillan 10.1007/978-3-030-39863-7 10.1007/978-3-030-39863-7 6c6992af-b843-4f46-859c-f6e9998e40d5 Palgrave Macmillan 163 open access
institution OAPEN
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language English
description 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.
title 2020_Book_ManagingDistributedCloudApplic.pdf
spellingShingle 2020_Book_ManagingDistributedCloudApplic.pdf
title_short 2020_Book_ManagingDistributedCloudApplic.pdf
title_full 2020_Book_ManagingDistributedCloudApplic.pdf
title_fullStr 2020_Book_ManagingDistributedCloudApplic.pdf
title_full_unstemmed 2020_Book_ManagingDistributedCloudApplic.pdf
title_sort 2020_book_managingdistributedcloudapplic.pdf
publisher Springer Nature
publishDate 2020
url https://www.springer.com/9783030398637
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