Data deduplication approaches: concepts, strategies, and challenges
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, an...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic Press
2021
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| Online-Zugang: | DE-706 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1. Introduction to data deduplication approaches<br>2. Data deduplication concepts<br>3. Concepts, strategies, and challenges of data deduplication<br>4. Existing mechanisms for data deduplication<br>5. Classification criteria for data deduplication methods<br>6. File chunking approaches<br>7. Study of data deduplication for file chunking approaches<br>8. Essentials of data deduplication using open-source toolkit<br>9. Efficient data deduplication scheme for scale-out distributed storage<br>10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope<br>11. A survey and critical analysis on energy generation from datacenter<br>12. Review of MODIS EVI and NDVI data for data mining applications<br>13. Performance modeling for secure migration processes of legacy systems to the cloud computing<br>14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment<br>15. Data deduplication for cloud storage<br>16. Data duplication using Amazon Web Services cloud storage<br>17. Game-theoretic analysis of encrypted cloud data deduplication<br>18. Data deduplication applications in cognitive science and computer vision research |
| Beschreibung: | 1 Online-Ressource Illustrationen |
| ISBN: | 9780128233955 0128233958 |
| DOI: | 10.1016/C2020-0-00104-0 |
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| 500 | |a 1. Introduction to data deduplication approaches<br>2. Data deduplication concepts<br>3. Concepts, strategies, and challenges of data deduplication<br>4. Existing mechanisms for data deduplication<br>5. Classification criteria for data deduplication methods<br>6. File chunking approaches<br>7. Study of data deduplication for file chunking approaches<br>8. Essentials of data deduplication using open-source toolkit<br>9. Efficient data deduplication scheme for scale-out distributed storage<br>10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope<br>11. A survey and critical analysis on energy generation from datacenter<br>12. Review of MODIS EVI and NDVI data for data mining applications<br>13. Performance modeling for secure migration processes of legacy systems to the cloud computing<br>14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment<br>15. Data deduplication for cloud storage<br>16. Data duplication using Amazon Web Services cloud storage<br>17. Game-theoretic analysis of encrypted cloud data deduplication<br>18. Data deduplication applications in cognitive science and computer vision research | ||
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| spelling | Data deduplication approaches concepts, strategies, and challenges edited by Tin Thein Thwel, G.R. Sinha Amsterdam Academic Press 2021 1 Online-Ressource Illustrationen txt rdacontent c rdamedia cr rdacarrier 1. Introduction to data deduplication approaches<br>2. Data deduplication concepts<br>3. Concepts, strategies, and challenges of data deduplication<br>4. Existing mechanisms for data deduplication<br>5. Classification criteria for data deduplication methods<br>6. File chunking approaches<br>7. Study of data deduplication for file chunking approaches<br>8. Essentials of data deduplication using open-source toolkit<br>9. Efficient data deduplication scheme for scale-out distributed storage<br>10. Identification of duplicate bug reports in software bug repositories: a systematic review, challenges and future scope<br>11. A survey and critical analysis on energy generation from datacenter<br>12. Review of MODIS EVI and NDVI data for data mining applications<br>13. Performance modeling for secure migration processes of legacy systems to the cloud computing<br>14. DedupCloud: an optimized efficient virtual machine deduplication algorithm in cloud computing environment<br>15. Data deduplication for cloud storage<br>16. Data duplication using Amazon Web Services cloud storage<br>17. Game-theoretic analysis of encrypted cloud data deduplication<br>18. Data deduplication applications in cognitive science and computer vision research 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 Data warehousing Data structures (Computer science) Information retrieval Big data Donnees volumineuses / (CaQQLa)000284673 Entrepots de donnees (Informatique) / (CaQQLa)201-0300302 Structures de donnees (Informatique) / (CaQQLa)201-0051595 Recherche de l'information / (CaQQLa)201-0013918 Information retrieval / (OCoLC)fst00972619 Thwel, Tin Thein edt Sinha, G. R. 1975- (DE-588)120734642X edt Erscheint auch als Druck-Ausgabe 9780128233955 https://doi.org/10.1016/C2020-0-00104-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Data deduplication approaches concepts, strategies, and challenges |
| title | Data deduplication approaches concepts, strategies, and challenges |
| title_auth | Data deduplication approaches concepts, strategies, and challenges |
| title_exact_search | Data deduplication approaches concepts, strategies, and challenges |
| title_full | Data deduplication approaches concepts, strategies, and challenges edited by Tin Thein Thwel, G.R. Sinha |
| title_fullStr | Data deduplication approaches concepts, strategies, and challenges edited by Tin Thein Thwel, G.R. Sinha |
| title_full_unstemmed | Data deduplication approaches concepts, strategies, and challenges edited by Tin Thein Thwel, G.R. Sinha |
| title_short | Data deduplication approaches |
| title_sort | data deduplication approaches concepts strategies and challenges |
| title_sub | concepts, strategies, and challenges |
| url | https://doi.org/10.1016/C2020-0-00104-0 |
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