Table of Contents

1. Introduction to data deduplication approaches
2. Data deduplication concepts
3. Concepts, strategies, and challenges of data deduplication
4. Existing mechanisms for data deduplication
5. Classification criteria for data deduplication methods
6. File chunking approaches
7. Study of data deduplication for file chunking approaches
8. Essentials of data deduplication using open-source toolkit
9. Efficient data deduplication scheme for scale-out distributed storage
10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope
11. A survey and critical analysis on energy generation from datacenter
12. Review of MODIS EVI and NDVI data for data mining applications
13. Performance modeling for secure migration processes of legacy systems to the cloud computing
14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment
15. Data deduplication for cloud storage
16. Data duplication using Amazon Web Services cloud storage
17. Game-theoretic analysis of encrypted cloud data deduplication
18. Data deduplication applications in cognitive science and computer vision research

About the Author

Tin Thein Thwel, PhD is a Professor at Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar. She received her PhD in Information Technology from the University of Computer Studies, Yangon (UCSY), Myanmar. She is a reviewer and technical committee member of the International Conference on Computer and Applications (ICCA) on data deduplication, cyber security, data mining, and information retrieval. She has 16 years of teaching experience at the university level and her research interests include data deduplication, cyber security, data mining and data science, information retrieval, and distributed computing. Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar.
To his credit are 255 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications from Chapman and Hall/CRC Press, Advances in Biometrics from Springer, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches from Elsevier Academic Press. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science.