![]() ![]() Kitchenham B, Brereton OP, Budgen D, Turner M, Bailey J, Linkman S (2009) Systematic literature reviews in software engineering-a systematic literature review. ![]() īrereton P, Kitchenham BA, Budgen D, Turner M, Khalil M (2007) Lessons from applying the systematic literature review process within the software engineering domain. Witten IH, Neal RM, Cleary JG (1987) Arithmetic coding for data compression. Int J Wisdom Based Comput 1(3):68–76īhadade US, Trivedi AI (2011) Lossless text compression using dictionaries. Shanmugasundaram S, Lourdusamy R (2011) A comparative study of text compression algorithms. Xia W, Jiang H, Feng D, Tian L, Fu M, Zhou Y (2014) Ddelta: a deduplication-inspired fast delta compression approach. Maan AJ (2013) Analysis and comparison of algorithms for lossless data compression. Xia W, Jiang H, Feng D, Douglis F, Shilane P, Hua Y, Fu M, Zhang Y, Zhou Y (2016) A comprehensive study of the past present and future of data deduplication. ![]() Venish A, Sankar KS (2015) Framework of data deduplication: a survey. Ĭhen CP, Zhang CY (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Wang J, Chen X (2016) Efficient and secure storage for outsourced data: a survey. ĭi Pietro R, Sorniotti A (2016) Proof of ownership for deduplication systems: a secure, scalable, and efficient solution. In: ACM Transactions on Storage (TOS), vol 10(2). Mao B, Jiang H, Wu S, Fu Y, Tian L (2014) Read-performance optimization for deduplication-based storage systems in the cloud. Paulo J, Pereira J (2014) A survey and classification of storage deduplication systems. In: Proceedings of the ACM/IFIP/USENIX Middleware’08 Conference Companion, pp 12–17. Mandagere N, Zhou P, Smith MA, Uttamchandani S (2008) Demystifying data deduplication. Peer-to-Peer Networking and Applications, pp 1–10. Hovhannisyan H, Qi W, Lu K, Yang R, Wang J (2016) Whispers in the cloud storage: a novel cross-user deduplication-based covert channel design. In: Proceedings of the 28th ACM International Conference on Supercomputing, pp 53–62. Tian Y, Khan SM, Jiménez DA, Loh GH (2014) Last-level cache deduplication. Gu M, Li X, Cao Y (2014) Optical storage arrays: a perspective for future big data storage. It also discusses existing challenges and significant research directions in deduplication for future researchers, and article concludes with a summary of valuable suggestions for future enhancements in deduplication. This research work is useful to identify deduplication techniques based on text, image and video data. Furthermore, the paper investigates deduplication techniques based on text and multimedia data along with their corresponding taxonomies as these techniques have different challenges for duplicate data detection. This paper presents a broad methodical literature review of existing data deduplication techniques along with various existing taxonomies of deduplication techniques that have been based on cloud data storage. Deduplication eliminates redundant data, improves storage utilization and reduces storage cost. Deduplication is an efficient technique that has gained attention in large-scale storage systems. The exponential growth of digital data in cloud storage systems is a critical issue presently as a large amount of duplicate data in the storage systems exerts an extra load on it. ![]()
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