Energy efficiency in cloud computing data centers: a survey on software technologies

Cluster Computing, Journal Year: 2022, Volume and Issue: 26(3), P. 1845 - 1875

Published: Aug. 30, 2022

Cloud computing is a commercial and economic paradigm that has gained traction since 2006 presently the most significant technology in IT sector. From notion of cloud to its energy efficiency, been subject much discussion. The consumption data centres alone will rise from 200 TWh 2016 2967 2030. require lot power provide services, which increases CO2 emissions. In this survey paper, software-based technologies can be used for building green centers include management at individual software level discussed. paper discusses efficiency containers problem-solving approaches reducing centers. Further, also gives details about impact on environment includes e-waste various standards opted by different countries giving rating This article goes beyond just demonstrating new possibilities. Instead, it focuses attention resources academia society critical issue: long-term technological advancement. covers applied techniques virtualization level, operating system application level. It clearly defines measures each reduce adds value current environmental problem pollution reduction. addresses difficulties, concerns, needs organisations must grasp, as well some factors case studies influence usage.

Language: Английский

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Modern computing: Vision and challenges

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 13, P. 100116 - 100116

Published: Jan. 8, 2024

Language: Английский

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GREENER principles for environmentally sustainable computational science

Nature Computational Science, Journal Year: 2023, Volume and Issue: 3(6), P. 514 - 521

Published: June 26, 2023

Language: Английский

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Sustainable green energy transition in Saudi Arabia: Characterizing policy framework, interrelations and future research directions

Next Energy, Journal Year: 2024, Volume and Issue: 5, P. 100161 - 100161

Published: July 10, 2024

Language: Английский

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Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(11), P. 19143 - 19167

Published: Feb. 20, 2024

The fiercely competitive business environment and increasingly personalized customization needs are driving the digital transformation upgrading of manufacturing industry. IIoT intelligence, which can provide innovative efficient solutions for various aspects value chain, illuminates path It's time to a systematic vision intelligence. However, existing surveys often focus on specific areas leading researchers readers have biases in their understanding that is, believing research one direction is most important development while ignoring contributions from other directions. Therefore, this paper provides comprehensive overview We first conduct an in-depth analysis inevitability study successful experiences practices Chinese enterprises. Then we give our definition intelligence demonstrate industries fucntions, operations, deployments, application. Afterwards, propose hierarchical architecture consists five layers. practical values technical upgrades at each layer illustrated by close look lighthouse factories. Following that, identify seven kinds technologies accelerate manufacturing, clarify contributions. ethical implications environmental impacts adopting analyzed as well. Finally, explore open challenges trends four inspire future researches.

Language: Английский

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A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 91, P. 12 - 29

Published: Feb. 6, 2024

Energy efficiency is a key area of research aimed at achieving sustainable and environmentally friendly networks. With the rise in data traffic network congestion, IoT devices with limited computational power energy resources face challenges analyzing, processing, storing data. To address this issue, computing technology has emerged as an effective means conserving for by providing high-performance capabilities efficient storage to support collection processing. As such, energy-efficient computing, or "green computing," become focal point researchers seeking deploy large-scale This study provides comprehensive Survey recent efforts green best our knowledge, none studies literature have discussed all types (edge, fog, cloud) their role enabling massive networks terms efficiency. The article starts overview technologies then goes discussion empowering energy-saving techniques environments including, energy-aware architecture, aggregation compression, low-power hardware, scheduling, task offloading, switching on/off unused resources, virtualization, harvesting, cooling optimization. outline roadmap toward realizing vision environment networks; addition, open door interested follow continue Energy-Efficient Computing.

Language: Английский

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The adoption of Industry 4.0 technologies by using the technology organizational environment framework: The mediating role to manufacturing performance in a developing country

Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(2)

Published: April 22, 2024

Abstract The study aspires to identify the factors conditioning adaptation of fourth industrial revolution (4IR) within manufacturing industries in Bangladesh, embracing Industry 4.0 (I4.0) technology led by technology‐organizational‐environment (TOE) framework that links a number variables Bangladesh. I4.0 is going drastically change landscape extended TOE relate demographics with research for implementing developing country. findings are analyzed using SMART PLS SEM and SPSS 29 order diagnose technological contexts (IT resource availability, readiness, relative advantage), organizational (strategy leadership, capabilities, infrastructure), environmental (market pressure, government support, innovation decision making). study's data, which were collected bootstrap confidence range 95%, offered evidence favor both proposed mediating effects. A statistically significant indirect effect I4 .0 on manufacturing/industry performance was seen analysis. This conducted examine function performance, enhances comprehensiveness study. Through application framework, this investigates impact adoption performance. theoretical has been validated model, aims heighten integrating I4.0. practical implications study, organizations, governments, practitioners engaged implementation technologies nation contexts.

Language: Английский

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A holistic approach to environmentally sustainable computing

Innovations in Systems and Software Engineering, Journal Year: 2024, Volume and Issue: 20(3), P. 347 - 371

Published: Feb. 6, 2024

Abstract Placing sustainability at the core of computing practices, industry is poised to pioneer positive changes and create a cleaner more sustainable world for future generations. The environmentally (ESC) framework introduced in this paper as an innovative solution revolutionize practices across various domains cover multiple aspects information technology (IT). ESC includes entire lifecycle systems, including critical stages such design, development, monitoring, refactoring, regulatory compliance. Through adoption framework, academia stakeholders can gain powerful tool evaluate measure factors different integrate eco-friendly principles patterns throughout their products services. This significantly reduce carbon footprint while complying with environmental regulations. In addition presenting showcases real-world use cases. first involves leading Italian bank, emphasizing significance monitoring compliance achieving solutions within carbon-aware computing. second case explores resource efficiency optimization Kubernetes clusters, illustrating how aligns cloud infrastructure management trends.

Language: Английский

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Towards Sustainable IT Infrastructure: Integrating Green Computing with Data Warehouse and Big Data Technologies to Enhance Efficiency and Environmental Responsibility

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(5), P. 247 - 261

Published: April 23, 2024

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TELECOMMUNICATIONS ENERGY EFFICIENCY: OPTIMIZING NETWORK INFRASTRUCTURE FOR SUSTAINABILITY

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(1), P. 26 - 40

Published: Jan. 9, 2024

The global telecommunications industry is facing significant challenges due to the rapid growth in data traffic and growing environmental concerns associated with these networks. This paper explores strategies for optimizing network design operation towards a greener, more sustainable future. Key include impact of energy consumption, which accounts 2-3% electricity consumption. focuses on operation, exploring energy-saving techniques innovations, revealing advanced management optimizations. It also transformative role renewable sources like solar, wind, geothermal power mitigating carbon footprint evaluates on-site generation purchase agreements (PPAs) as integral components strategy. highlights potential holistic approach efficiency, including deploying energy-efficient hardware, using green centers equipped techniques, implementing intelligent systems, flow. Network optimization involves regular evaluation infrastructure, eliminating redundancy underutilized equipment, employing software-defined networking (SDN) Function Virtualization (NFV). Renewable integration discussed, emerging powerful tools reducing dependence traditional grids fossil fuels. AI, machine learning, blockchain technology explored. By strategies, can contribute significantly goals while securing enduring economic benefits. implications infrastructure extend beyond immediate savings, encompassing enhanced brand image, cost-effectiveness, compliance evolving regulations. Keywords: Telecommunications, Energy Efficiency, Design, Green Networks, Management, Emerging Technologies.

Language: Английский

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