Strategic Engineering for Cloud Computing and Big Data Analytics

✍ Scribed by Amin Hosseinian-Far, Muthu Ramachandran, Dilshad Sarwar (eds.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 223
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xii
Front Matter....Pages 1-1
Mathematical and Computational Modelling Frameworks for Integrated Sustainability Assessment (ISA)....Pages 3-27
Sustainable Maintenance Strategy Under Uncertainty in the Lifetime Distribution of Deteriorating Assets....Pages 29-50
A Novel Safety Metric SMEP for Performance Distribution Analysis in Software System....Pages 51-61
Prior Elicitation and Evaluation of Imprecise Judgements for Bayesian Analysis of System Reliability....Pages 63-79
Front Matter....Pages 81-81
Early Detection of Software Reliability: A Design Analysis....Pages 83-99
Using System Dynamics for Agile Cloud Systems Simulation Modelling....Pages 101-117
Software Process Simulation Modelling for Agile Cloud Software Development Projects: Techniques and Applications....Pages 119-139
Adoption of a Legacy Network Management Protocol for Virtualisation....Pages 141-153
Front Matter....Pages 155-155
Strategic Approaches to Cloud Computing....Pages 157-167
Cloud Security: A Security Management Perspective....Pages 169-187
An Overview of Cloud Forensics Strategy: Capabilities, Challenges, and Opportunities....Pages 189-205
Business Intelligence Tools for Informed Decision-Making: An Overview....Pages 207-223
Back Matter....Pages 225-226

✦ Subjects

Quality Control, Reliability, Safety and Risk;Information Systems and Communication Service;Business Information Systems;Management of Computing and Information Systems;Big Data/Analytics;Communications Engineering, Networks

📜 SIMILAR VOLUMES

Big-Data Analytics for Cloud, IoT and Co

📁 Big-Data Analytics for Cloud, IoT and Cognitive Computing

✍ Kai Hwang, Min Chen 📂 Library 📅 2017 🏛 Wiley 🌐 English

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sens

Cloud Computing for Geospatial Big Data

📁 Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing

✍ Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which

Big Data, Cloud Computing, and Data Scie

📁 Big Data, Cloud Computing, and Data Science Engineering

✍ Roger Lee 📂 Library 📅 2023 🏛 Springer 🌐 English

This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring tog

Big Data, Cloud Computing, and Data Scie

📁 Big Data, Cloud Computing, and Data Science Engineering

✍ Roger Lee 📂 Library 📅 2020 🏛 Springer International Publishing 🌐 English

This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, bu

Big Data, Cloud Computing, and Data Scie

📁 Big Data, Cloud Computing, and Data Science Engineering

✍ Roger Lee 📂 Library 📅 2023 🏛 Springer Nature 🌐 English

This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and

Big Data, Cloud Computing, Data Science

📁 Big Data, Cloud Computing, Data Science & Engineering

✍ Roger Lee 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entr