Data Deduplication Approaches: Concepts, Strategies, and Challenges

Author:   Tin Thein Thwel (Professor, Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar) ,  G. R. Sinha (Adjunct Professor, International Institute of Information Technology Bengaluru (IIITB), Bangalore, Karnataka, India)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128233955


Pages:   404
Publication Date:   27 November 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Deduplication Approaches: Concepts, Strategies, and Challenges


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Author:   Tin Thein Thwel (Professor, Myanmar Institute of Information Technology (MIIT), Mandalay, Myanmar) ,  G. R. Sinha (Adjunct Professor, International Institute of Information Technology Bengaluru (IIITB), Bangalore, Karnataka, India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.810kg
ISBN:  

9780128233955


ISBN 10:   0128233958
Pages:   404
Publication Date:   27 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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

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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.

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