期刊
COMPLEX & INTELLIGENT SYSTEMS
卷 8, 期 5, 页码 3707-3718出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s40747-021-00466-y
关键词
IoT; Decentralized visualization; Blockchain; Big data visualization; Hyperledger Sawtooth; Secure distributed storage; Green solution
资金
- National University of Sciences and Technology
- National University of Sciences and Technology, Islamabad, Pakistan
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2021R1A6A1A03039493]
The rise of IoT has led to the generation of large amounts of data, posing a challenge for effective handling and analysis. Existing cloud-based Big Data visualization frameworks are costly, hence the need for a green solution like BGbV, which utilizes Blockchain technology to optimize resource utilization and reduce costs while ensuring security and data availability.
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.
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