CA-Dedupe: content-aware deduplication in SSDs

Taghizadeh, Ramin Gholami; Taghizadeh, Reza Gholami; Khakpash, Fahimeh; Marvasti, Mohammadreza Binesh; Asghari, Seyyed Amir

doi:10.1007/s11227-020-03188-z

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…As mentioned in the motivation section, incompressible data at the flash memory level usually belongs to multimedia files, compressed document files, and compressed archive files. The studies in [20][21][22][23] show that the histograms of data value frequencies found in files with the same format are similar.…”

Section: A Compressing Requests and Predicting Incompressible Requestsmentioning

confidence: 96%

IBU: An In-Block Update Address Mapping Scheme for Solid-State Drives

et al. 2022

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Section: A Compressing Requests and Predicting Incompressible Requestsmentioning

confidence: 96%

IBU: An In-Block Update Address Mapping Scheme for Solid-State Drives

et al. 2022

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“…The experimental results demonstrated that the proposed method gains a chunking speed roughly 3-12 times faster than the state-of-the-art CDC while achieving a deduplication ratio nearly equal to or greater than the Rabin-based CDC. An intelligent method for data deduplication on flash storage was developed by Maqdah et al 40 The write requests were classified based on the type and substance of the data, and the associated metadata was kept in distinct categories to improve the search operation, reducing the search delay and improving the search quality. 41 Chunking and hashing are the leading technologies that make data deduplication possible.…”

Section: Data Deduplicationmentioning

confidence: 99%

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

Prakash J,

et al. 2023

Int J Network Mgmt

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The cloud environment is inherently dynamic as users are added immensely in a short duration. It is indeed difficult to manage such user profiles and associated data. Meanwhile, the cloud data expand at a twofold‐to‐threefold rate on average, making storage space management and data integrity maintenance a mandatory task but also risky. The main approaches for addressing these data maintenance challenges in a cloud context are deduplication and data protection. In order to manage storage space, finding and removing identical copies of the same data from the cloud are possible, resulting in a reduction in the amount of storage space needed. Furthermore, duplicate copies are considerably reduced in cloud storage owing to data deduplication. Here, a decentralized ledger public blockchain network is introduced to protect the Integrity of data stored in cloud storage. This research proposes data deduplication using speedy content‐defined Chunking (SpeedyCDC) algorithm in the public blockchain. Many people and businesses outsource sensitive data to remote cloud servers because it considerably eliminates the hassle of managing software and infrastructure. However, the ownership and control rights of users data are nonetheless divided because it is outsourced to cloud storage providers (CSPs) and kept on a distant cloud. As a result, users have a great deal of difficulty in verifying the Integrity of sensitive data. Analysis using datasets from Geospatial Information Systems (GIS) revealed that the throughput increased by 5%–6% over that of the fastCDC technique, which offered Integrity since a blockchain network secured it.

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Storage Enhancement in the Cloud Using Machine Learning Technique and Novel Hash Algorithm for Cloud Data Security

Hema

Márquez

2022

Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1

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CA-Dedupe: content-aware deduplication in SSDs

Cited by 7 publications

References 23 publications

IBU: An In-Block Update Address Mapping Scheme for Solid-State Drives

IBU: An In-Block Update Address Mapping Scheme for Solid-State Drives

Blockchain‐based data deduplication using novel content‐defined chunking algorithm in cloud environment

Storage Enhancement in the Cloud Using Machine Learning Technique and Novel Hash Algorithm for Cloud Data Security

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