Design of an Improved Data Deduplication Technique for Cloud Storage

2019 ◽  
Vol 7 (2) ◽  
pp. 51-56
Author(s):  
Sunil Gupta ◽  
Rajeev Bedi ◽  
Amandeep Kaur
Keyword(s):  
Cloud Storage ◽  
Data Deduplication

Fast Variable-Grained Resemblance Data Deduplication For Cloud Storage

2021 ◽  
Author(s):  
Xuming Ye ◽  
Jia Tang ◽  
Wenlong Tian ◽  
Ruixuan Li ◽  
Weijun Xiao ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Fast Variable ◽  
Data Deduplication

scholarly journals Deduplication in Cloud Storage

2019 ◽  
Vol 9 (2S) ◽  
pp. 364-368
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Cloud Service ◽  
Information Storage ◽  
Cloud Environment ◽  
Data Deduplication ◽  
Cloud Service Provider ◽  
Level Data ◽  
Block Level ◽  
Individual Client

Cloud Computing is well known today on account of enormous measure of data storage and quick access of information over the system. It gives an individual client boundless extra space, accessibility and openness of information whenever at anyplace. Cloud service provider can boost information storage by incorporating data deduplication into cloud storage, despite the fact that information deduplication removes excess information and reproduced information happens in cloud environment. This paper presents a literature survey alongside different deduplication procedures that have been based on cloud information storage. To all the more likely guarantee secure deduplication in cloud, this paper examines file level data deduplication and block level data deduplication.

scholarly journals An extensive research survey on data integrity and deduplication towards privacy in cloud storage

2020 ◽  
Vol 10 (2) ◽  
pp. 2011
Author(s):  
Anil Kumar G. ◽  
Shantala C. P.
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
Storage System ◽  
Data Integrity ◽  
Data Deduplication ◽  
Research Issues ◽  
Existing Problems ◽  
Research Survey ◽  
Challenging Tasks ◽  
Future Direction

Owing to the highly distributed nature of the cloud storage system, it is one of the challenging tasks to incorporate a higher degree of security towards the vulnerable data. Apart from various security concerns, data privacy is still one of the unsolved problems in this regards. The prime reason is that existing approaches of data privacy doesn't offer data integrity and secure data deduplication process at the same time, which is highly essential to ensure a higher degree of resistance against all form of dynamic threats over cloud and internet systems. Therefore, data integrity, as well as data deduplication is such associated phenomena which influence data privacy. Therefore, this manuscript discusses the explicit research contribution toward data integrity, data privacy, and data deduplication. The manuscript also contributes towards highlighting the potential open research issues followed by a discussion of the possible future direction of work towards addressing the existing problems.

Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage

2016 ◽  
Vol 28 (11) ◽  
pp. 3113-3125 ◽  
Author(s):  
Junbeom Hur ◽  
Dongyoung Koo ◽  
Youngjoo Shin ◽  
Kyungtae Kang
Keyword(s):  
Cloud Storage ◽  
Data Deduplication ◽  
Secure Data

Data deduplication for cloud storage

2021 ◽  
pp. 307-317
Author(s):  
C.S.N. Koushik ◽  
Shruti Bhargava Choubey ◽  
Abhishek Choubey ◽  
G.R. Sinha
Keyword(s):  
Cloud Storage ◽  
Data Deduplication

A Global Survey on Data Deduplication

2018 ◽  
Vol 10 (4) ◽  
pp. 43-66 ◽  
Author(s):  
Shubhanshi Singhal ◽  
Pooja Sharma ◽  
Rajesh Kumar Aggarwal ◽  
Vishal Passricha
Keyword(s):  
Data Reduction ◽  
Cloud Storage ◽  
Storage Systems ◽  
Distributed Storage ◽  
Digital Data ◽  
Data Deduplication ◽  
Computationally Efficient ◽  
Redundant Data ◽  
Single Instance ◽  
Local Storage

This article describes how data deduplication efficiently eliminates the redundant data by selecting and storing only single instance of it and becoming popular in storage systems. Digital data is growing much faster than storage volumes, which shows the importance of data deduplication among scientists and researchers. Data deduplication is considered as most successful and efficient technique of data reduction because it is computationally efficient and offers a lossless data reduction. It is applicable to various storage systems, i.e. local storage, distributed storage, and cloud storage. This article discusses the background, components, and key features of data deduplication which helps the reader to understand the design issues and challenges in this field.

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