Blockchain-based green big data visualization: BGbV

被引:0
|
作者
Iqra Shahzad
Ayesha Maqbool
Tauseef Rana
Alina Mirza
Wazir Zada Khan
Sung Won Kim
Yousaf Bin Zikria
Sadia Din
机构
[1] National University of Sciences and Technology (NUST),Department of Computer Software Engineering, MCS
[2] National University of Sciences and Technology (NUST),Department of Computer Science, NBC
[3] National University of Sciences and Technology (NUST),Department of Electrical Engineering, MCS
[4] Capital University of Science and Technology,Department of Computer Science
[5] Yeungnam University,Department of Information and Communication Engineering
来源
Complex & Intelligent Systems | 2022年 / 8卷
关键词
IoT; Decentralized visualization; Blockchain; Big data visualization; Hyperledger Sawtooth; Secure distributed storage; Green solution;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:3707 / 3718
页数:11
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