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Scientific Article details

Title Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review
ID_Doc 69832
Authors Somantri, A; Surendro, K
Title Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review
Year 2024
Published
DOI 10.1109/ACCESS.2024.3373786
Abstract Computer Science Architecture (CSA), encompassing data, application, technology, and business architecture, is a vital tool for addressing climate change challenges. It aims to reduce greenhouse gas emissions from sectors such as stationary energy, transportation, industry, product use, waste, and land use. CSA principles extend to advanced technologies like artificial intelligence (AI), the Internet of Things (IoT), Machine Learning (ML), data centers, blockchain, multi-agent systems, sensors, and smart grids. This review explores CSA's role in mitigating greenhouse gas emissions for a sustainable environment. It analyzes implications, indicators, and methodologies for data, application, technology, and business architecture, highlighting their direct impact on creating an environmentally friendly technological landscape. The study also delves into emerging trends and suggestions for future research, contributing to the discourse on leveraging technology for a greener future.
Author Keywords Climate change; Greenhouse gases; Computer architecture; Environmental monitoring; Sustainable development; Carbon emissions; Machine learning; Computer applications; Computer science; Green design; Greenhouse gas emissions; computer science architecture; sustainable environment; review
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001184768100001
WoS Category Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications
Research Area Computer Science; Engineering; Telecommunications
PDF https://ieeexplore.ieee.org/ielx7/6287639/6514899/10460521.pdf
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