Advancing Cloud Database Systems and Capacity Planning with Dynamic Applications
- 9h 34m
- Narendra Kumar Kamila (ed)
- IGI Global
- 2017
Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption.
Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.
In this Book
-
Foreword
-
Fundamentals of Data Mining and Data Warehousing
-
Energy and Carbon Footprint–Aware Management of Geo–Distributed Cloud Data Centers—A Taxonomy, State of the Art, and Future Directions
-
Cloud–Based Platforms and Infrastructures—Provisioning Physical and Virtual Networks
-
Advances in Dynamic Virtual Machine Management for Cloud Data Centers
-
Resource Allocation Policies in Cloud Computing Environment
-
Privacy Preserving Public Auditing in Cloud—Literature Review
-
Resource Management in Sensor Cloud
-
Challenges and Issues in Web–Based Information Retrieval System
-
Big Data Optimization for Customer Discounts in Cloud Computing Environment
-
Cloud Database Systems—NoSQL, NewSQL, Hybrid
-
Security for Hybrid Mobile Development—Challenges and Opportunities
-
Denial of Service (DoS) Attacks over Cloud Environment—A Literature Survey
-
Security Aspects in Cloud Computing
-
A User–Centered Log–Based Information Retrieval System Using Web Log Mining—An Efficient Information Retrieval System
-
Session Hijacking over Cloud Environment—A Literature Survey
-
Compilation of References
