Data Deduplication Approaches: Concepts, Strategies, and Challenges
Author(s): Tin Thein Thwel (Editor), G. R. Sinha
Publisher: Academic Press
Publication Date: 7 Dec. 2020
Language: English
Print length: 404 pages
ISBN-10: 0128233958
ISBN-13: 9780128233955
Book Description
In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research.Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers the various methods that can be used to eliminate multiple copies of the same files as well as duplicated segments or chunks of data within the associated files. Due to ever-increasing data duplication, its deduplication has become an especially useful field of research for storage environments, in particular persistent data storage. Data Deduplication Approaches provides readers with an overview of the concepts and background of data deduplication approaches, then proceeds to demonstrate in technical detail the strategies and challenges of real-time implementations of handling big data, data science, data backup, and recovery. The book also includes future research directions, case studies, and real-world applications of data deduplication, focusing on reduced storage, backup, recovery, and reliability.
Includes data deduplication methods for a wide variety of applications
Includes concepts and implementation strategies that will help the reader to use the suggested methods
Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable methods for their applications
Focuses on reduced storage, backup, recovery, and reliability, which are the most important aspects of implementing data deduplication approaches
Includes case studies
Editorial Reviews
Review
Examines the concepts and technical methods of data deduplication for a wide variety of applications
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 over 200 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, Advances in Biometrics, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches. 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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