Strategic Engineering for Cloud Computing and Big Data Analytics

Amin Hosseinian-Far, Muthu Ramachandran, Dilshad Sarwar

Research output: Book/Report typesBookResearchpeer-review

Abstract

© Springer International Publishing AG 2017. 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.
Original languageEnglish
PublisherSpringer International Publishing
Number of pages226
ISBN (Print)9783319524917
DOIs
Publication statusPublished - 1 Jan 2017

Fingerprint

Cloud computing
Sustainable development
Life cycle
Industry
Information systems
Computer systems
Systems analysis
Students
Big data

Keywords

  • Strategic Engineering
  • Cloud Computing
  • Big Data Analytics

Cite this

Hosseinian-Far, Amin ; Ramachandran, Muthu ; Sarwar, Dilshad. / Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing, 2017. 226 p.
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Strategic Engineering for Cloud Computing and Big Data Analytics. / Hosseinian-Far, Amin; Ramachandran, Muthu; Sarwar, Dilshad.

Springer International Publishing, 2017. 226 p.

Research output: Book/Report typesBookResearchpeer-review

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AB - © Springer International Publishing AG 2017. 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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