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A Detailed Review of Data Deduplication Approaches in the Cloud and Key Challenges

2023 4th International Conference on Smart Electronics and Communication (ICOSEC), 2023
Now a day's cloud is widely used as a storage container to store an enormous amount of data. Data is growing on the cloud exponentially as every user whether an organization, business data, or end-users too, uses the cloud to back up their data.
Anjuli Goel, C. Prabha
semanticscholar   +1 more source

Data Deduplication Techniques and Analysis

2010 3rd International Conference on Emerging Trends in Engineering and Technology, 2010
Data warehouses are the repositories of data collected from several data sources, which form the backbone of most of the decision support applications. As the data sources are independent, they may adopt independent and potentially inconsistent conventions.
Srivatsa Maddodi   +2 more
openaire   +1 more source

A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments

IEEE Access
In the Industrial Internet of Things (IIoT), the vast amount of data generated by interconnected devices presents significant challenges in storage management.
Jakkarin Lapmoon, S. Fugkeaw
semanticscholar   +1 more source

Data Deduplication Based on Hadoop

2017 Fifth International Conference on Advanced Cloud and Big Data (CBD), 2017
Efficient and scalable deduplication techniques are required to serve the need of removing duplicated data in big data processing platforms such as Hadoop. In this paper, an integrated deduplication approach is proposed by taking the features of Hadoop into acount and leveraging parallelism based on MapReduce and HBase so as to speed up the ...
Dongzhan Zhang   +4 more
openaire   +1 more source

Ripple: Enabling Decentralized Data Deduplication at the Edge

IEEE Transactions on Parallel and Distributed Systems
With its advantages in ensuring low data retrieval latency and reducing backhaul network traffic, edge computing is becoming a backbone solution for many latency-sensitive applications. An increasingly large number of data is being generated at the edge,
Ruikun Luo   +5 more
semanticscholar   +1 more source

Edge Data Deduplication Under Uncertainties: A Robust Optimization Approach

IEEE Transactions on Parallel and Distributed Systems
The emergence of mobile edge computing (MEC) in distributed systems has sparked increased attention toward edge data management. A conflict arises from the disparity between limited edge resources and the continuously expanding data requests for data ...
Ruikun Luo   +7 more
semanticscholar   +1 more source

Secure Heterogeneous Data Deduplication via Fog-Assisted Mobile Crowdsensing in 5G-Enabled IIoT

IEEE Transactions on Industrial Informatics, 2022
Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial Internet of Things. However, the redundant and duplicated heterogeneous sensing data bring unnecessary heavy storage and communication overhead.
Yuanyuan Zhang, C.L.Philip Chen
semanticscholar   +1 more source

Data Deduplication Techniques

Journal of Software, 2010
With the information and network technology, rapid development, rapid increase in the size of the data center, energy consumption in the proportion of IT spending rising. In the great green environment many companies are eyeing the green store, hoping thereby to reduce the energy storage system.
Li AO, Ji-Wu SHU, Ming-Qiang LI
openaire   +2 more sources

IoT-Dedup: Device Relationship-Based IoT Data Deduplication Scheme

IEEE Transactions on Parallel and Distributed Systems
The cyclical and continuous working characteristics of Internet of Things (IoT) devices make a large amount of the same or similar data, which can significantly consume storage space.
Yuan Gao   +5 more
semanticscholar   +1 more source

Secure and Efficient Hybrid Data Deduplication in Edge Computing

ACM Trans. Internet Techn., 2022
As an extension of cloud computing, edge computing introduces additional intermediate devices, called edge nodes near clients, providing computing services on behalf of the central cloud more efficiently.
Hyungjune Shin   +2 more
semanticscholar   +1 more source

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