Abstract
The paper explores various aspects of data storage technologies, including Solid-State Storage, Cloud Computing, Edge Computing, and Blockchain, in the context of their implications, advantages, and limitations. Each technology's impact on data storage, performance, security, scalability, and environmental considerations is examined. Carbon Footprint (CF) is introduced as a measure of the environmental impact of data storage methods. The paper then delves into carbon calculation approaches, emphasizing the importance of accurate measurement in a computing environment. The integration of Carbon Footprint and Blockchain technology is discussed, presenting a framework for managing carbon emissions in data storage. Carbon accounting methodologies, including spend-based, activity-based, and hybrid methods, are detailed along with their applications in estimating greenhouse gas emissions. Finally, the paper explores the intersection of Carbon Emission Trading and Blockchain, highlighting how Blockchain's transparency and security attributes can address challenges within carbon trading systems.
Cite
CITATION STYLE
Fan, M. (2023). Future of Blockchain: Data Storage, Carbon Calculation, Accounting, and Emissions Trading. Journal of Student Research, 12(4). https://doi.org/10.47611/jsrhs.v12i4.5665
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