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Blockchain-based green big data visualization: BGbV

delete2021-08-10
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OA
AI
I
Iqra Shahzad
A
Ayesha Maqbool
T
Tauseef Rana
A
Alina Mirza
W
Wazir Zada Khan
S
Sung Won Kim
Y
Yousaf Bin Zikria
S
Sadia Din *
DOI:10.1007/s40747-021-00466-ydelete
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Abstract

Abstract

En 中文
The progression of Internet of Things (IoT) has resulted in generation of huge amount of data. Effective handling and analysis of such big volumes of data proposes a crucial challenge. Existing cloud-based frameworks of Big Data visualization are rising costs for servers, equipment, and energy consumption. There is a need for a green solution targeting lesser cost and energy consumption with tamper-proof record-keeping, storage, and interactive visualization with only demanded data. We have proposed a Blockchain-based Green big data Visualization (BGbV) solution using Hyperledger Sawtooth for optimum utilization of organization resources. BGbV will support current distributed data visualization platforms and guarantee benefits like security and data availability with lesser storage costs. It helps reduce costs by utilizing small resources that are already available and consume less energy, making it an environmentally friendly solution.
Keywords:
IoT
Decentralized visualization
Blockchain
Big data visualization
Hyperledger Sawtooth
Secure distributed storage
Green solution
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Journal

Complex and Intelligent Systems cover
Complex and Intelligent Systems
IF:
4.6
Papers:
2.1K
Citations:
6.6K

Organization

N
national university of sciences & technology - pakistan
Scholars:
7.8K
Papers: 6.6K
Citations: 6
Y
Yeungnam University
Scholars:
1.0W
Papers: 1.3W
Citations: 1.4W