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Strategic engineering for cloud computing and big data analytics

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact asses...

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Detalles Bibliográficos
Autores principales: Hosseinian-Far, Amin, Ramachandran, Muthu, Sarwar, Dilshad
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-52491-7
http://cds.cern.ch/record/2253869
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author Hosseinian-Far, Amin
Ramachandran, Muthu
Sarwar, Dilshad
author_facet Hosseinian-Far, Amin
Ramachandran, Muthu
Sarwar, Dilshad
author_sort Hosseinian-Far, Amin
collection CERN
description This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy. .
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22538692021-04-21T19:19:27Zdoi:10.1007/978-3-319-52491-7http://cds.cern.ch/record/2253869engHosseinian-Far, AminRamachandran, MuthuSarwar, DilshadStrategic engineering for cloud computing and big data analyticsEngineeringThis book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy. .Springeroai:cds.cern.ch:22538692017
spellingShingle Engineering
Hosseinian-Far, Amin
Ramachandran, Muthu
Sarwar, Dilshad
Strategic engineering for cloud computing and big data analytics
title Strategic engineering for cloud computing and big data analytics
title_full Strategic engineering for cloud computing and big data analytics
title_fullStr Strategic engineering for cloud computing and big data analytics
title_full_unstemmed Strategic engineering for cloud computing and big data analytics
title_short Strategic engineering for cloud computing and big data analytics
title_sort strategic engineering for cloud computing and big data analytics
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-52491-7
http://cds.cern.ch/record/2253869
work_keys_str_mv AT hosseinianfaramin strategicengineeringforcloudcomputingandbigdataanalytics
AT ramachandranmuthu strategicengineeringforcloudcomputingandbigdataanalytics
AT sarwardilshad strategicengineeringforcloudcomputingandbigdataanalytics