Data Center Sustainability: Revisits and Outlooks

Cao, Zhiwei; Zhou, Xin; Wu, Xiangyu; Zhu, Zhaomeng; Liu, Tracy; Neng, Jeffery; Wen, Yonggang

doi:10.1109/tsusc.2023.3281583

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…[58], [61], [62], [65], [67], [27], [74], [90], [96], [106] Application Architecture 11 [62], [65], [25], [74], [36], [37], [80], [90], [96], [103], [6] Technology Architecture 54 [108], [60], [55], [23], [62], [20], [24], [63], [65], [112], [109], [67], [69], [70], [71], [29], [111], [73], [32], [75], [77], [34], [35], [81], [4], [5], [82], [39], [40], [83], [41], <...…”

Section: ) Results Reporting On Rq2mentioning

confidence: 99%

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Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Somantri,

Surendro

2024

IEEE Access

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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.INDEX TERMS Greenhouse gas emissions, computer science architecture, sustainable environment, review.

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Section: ) Results Reporting On Rq2mentioning

confidence: 99%

“…Stationary energy 42 [58], [60], [55], [62], [69], [70], [27], [110], [29], [111], [73], [32], [77], [79], [81], [4], [39], [83], [41], [56], [88], [3], [89], [91], [45], [46], [94], [95], [97], [49], [57], [52], [100], [53], [54], [102], [103], [92], [104], [105], [106], [6] Transportation 10…”

Section: Number Of Research Referencesmentioning

confidence: 99%

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Somantri,

Surendro

2024

IEEE Access

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Radiative free cooling for energy and water saving in data centers

Aili,

Long,

Cao

et al. 2024

Applied Energy

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Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management

Trappey,

Lin,

Hung

2024

Information

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Ontological knowledge graph (OKG) is a well-formed visual representation that depicts knowledge organization in formal elements (e.g., entities and attributes) and their interrelationships. OKG is crucial for innovation management analysis as it provides a clear boundary to understand complex knowledge domain in detail. In the patent analysis field, it facilitates the definition of a well-defined patent portfolio, aiming for accurate and complete patent retrievals and subsequent analyses. In recent decade, the rapid growth of the information and communication technology (ICT) sector has rendered data centers (DCs) indispensable for data processing, storage, and cloud computing, while ensuring security and privacy during DC operations. However, their energy-intensive operations pose challenges to global efforts toward achieving net-zero emissions goals. In response, this research develops a formal OKG refinement process and uses DC net-zero technology OKG as case study for in-depth OKG refinement and application in patent portfolio analysis. The net-zero DC domain covers five sub-technologies. Utilizing the proposed OKG refinement and patent portfolio analysis framework, the 1801 most recent decade’s patents related to relevant “DC net-zero technologies” are retrieved and analyzed. Particularly in this case, DC colocation and server-as-a-service perspectives are the newly discovered sub-domains for OKG refinement. Furthermore, the research also adopts the technology function matrix and technology maturity to assess current and future technology development trends, providing crucial insights supporting strategic innovation management.

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Data Center Sustainability: Revisits and Outlooks

Cited by 4 publications

References 27 publications

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Greenhouse Gas Emission Reduction Architecture in Computer Science: A Systematic Review

Radiative free cooling for energy and water saving in data centers

Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management

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