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2018 | OriginalPaper | Buchkapitel

VM Deployment Methods for DaaS Model in Clouds

verfasst von : Klodiana Goga, Fatos Xhafa, Olivier Terzo

Erschienen in: Advances in Internet, Data & Web Technologies

Verlag: Springer International Publishing

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Abstract

Big Data has become an enabling technology for many of the today’s innovations. Given the exponential rate at which the data is produced there is a clear necessity for scalable solutions to control the overwhelming flow of new streams of information and extract information out of DaaS Clouds. In this paper we review and analyze some VM deployment methods and their suitability for Data as a Service (DaaS) model in Clouds. Then we approach some novel aspects of VM deployment, including VM migration.

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Vorheriges Kapitel Endowing IoT Devices with Intelligent Services

Nächstes Kapitel A Capability and Compatibility Approach to Modelling of Information Reuse and Integration for Innovation

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Titel: VM Deployment Methods for DaaS Model in Clouds
verfasst von: Klodiana Goga
Fatos Xhafa
Olivier Terzo
Verlag: Springer International Publishing
Buch: Advances in Internet, Data & Web Technologies
Print ISBN: 978-3-319-75927-2

Electronic ISBN: 978-3-319-75928-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75928-9_33

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