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Sustainable edge computing: Challenges and future directions

https://doi.org/10.1002/spe.3340
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119552482openalex-snapshot
Complexity Challenges in Cyber Physical Systems
inferredcites →https://doi.org/10.1002/itl2.275openalex-snapshot
Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions
inferredcites →https://doi.org/10.1002/spe.3157openalex-snapshot
Journey from cloud of things to fog of things: Survey, new trends, and research directions
inferredcites →https://doi.org/10.1002/spe.3168openalex-snapshot
xDEVS: A toolkit for interoperable modeling and simulation of formal discrete event systems
inferredcites →https://doi.org/10.1002/spe.3248openalex-snapshot
Energy‐efficiency and sustainability in new generation cloud computing: A vision and directions for integrated management of data centre resources and workloads
inferredcites →https://doi.org/10.1007/978-1-4471-2291-3_8openalex-snapshot
Hardware-in-the-Loop Simulation
inferredcites →https://doi.org/10.1007/s00607-021-00961-7openalex-snapshot
Dynamic energy-efficient scheduling for streaming applications in storm
inferredcites →https://doi.org/10.1007/s10489-022-03557-6openalex-snapshot
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/s10586-020-03182-3openalex-snapshot
Managing overloaded hosts for energy-efficiency in cloud data centers
inferredcites →https://doi.org/10.1007/s10586-022-03797-8openalex-snapshot
Modeling and simulation of smart grid-aware edge computing federations
inferredcites →https://doi.org/10.1016/j.adapen.2020.100006openalex-snapshot
Smart grid encounters edge computing: opportunities and applications
inferredcites →https://doi.org/10.1016/j.adhoc.2022.103044openalex-snapshot
A survey of mobility-aware Multi-access Edge Computing: Challenges, use cases and future directions
inferredcites →https://doi.org/10.1016/j.applthermaleng.2020.115862openalex-snapshot
Immersion cooling effect of dielectric liquid and self-rewetting fluid on smooth and porous surface
inferredcites →https://doi.org/10.1016/j.future.2018.05.050openalex-snapshot
Improving consumer satisfaction in smart cities using edge computing and caching: A case study of date fruits classification
inferredcites →https://doi.org/10.1016/j.future.2021.07.031openalex-snapshot
Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling
inferredcites →https://doi.org/10.1016/j.future.2021.10.019openalex-snapshot
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach
inferredcites →https://doi.org/10.1016/j.iot.2022.100674openalex-snapshot
AI-based fog and edge computing: A systematic review, taxonomy and future directions
inferredcites →https://doi.org/10.1016/j.simpat.2019.102037openalex-snapshot
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications
inferredcites →https://doi.org/10.1016/j.teler.2023.100049openalex-snapshot
A review on fog computing: Issues, characteristics, challenges, and potential applications
inferredcites →https://doi.org/10.1038/s41558-020-0837-6openalex-snapshot
Hiding greenhouse gas emissions in the cloud
inferredcites →https://doi.org/10.1080/17477778.2020.1863755openalex-snapshot
Bringing AI to the edge: a formal M&S specification to deploy effective IoT architectures
inferredcites →https://doi.org/10.1109/99.615432openalex-snapshot
The DEVS environment for high-performance modeling and simulation
inferredcites →https://doi.org/10.1109/access.2019.2947053openalex-snapshot
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/cloud60044.2023.00057openalex-snapshot
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets
inferredcites →https://doi.org/10.1109/comsnets.2009.4808865openalex-snapshot
A parsimonious model of mobile partitioned networks with clustering
inferredcites →https://doi.org/10.1109/comst.2023.3239579openalex-snapshot
Offloading Using Traditional Optimization and Machine Learning in Federated Cloud–Edge–Fog Systems: A Survey
inferredcites →https://doi.org/10.1109/icdcs.2019.00101openalex-snapshot
FRAME: Fault Tolerant and Real-Time Messaging for Edge Computing
inferredcites →https://doi.org/10.1109/ict4s55073.2022.00019openalex-snapshot
Architectural Tactics to Optimize Software for Energy Efficiency in the Public Cloud
inferredcites →https://doi.org/10.1109/infocom48880.2022.9796778openalex-snapshot
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
inferredcites →https://doi.org/10.1109/isc246665.2019.9071685openalex-snapshot
Predictive GPU-based ADAS Management in Energy-Conscious Smart Cities
inferredcites →https://doi.org/10.1109/isca52012.2021.00055openalex-snapshot
Cost-Efficient Overclocking in Immersion-Cooled Datacenters
inferredcites →https://doi.org/10.1109/itherm54085.2022.9899572openalex-snapshot
A study on compatibility of thermal interface materials with coolants for data center immersion cooling
inferredcites →https://doi.org/10.1109/jcn.2019.000046openalex-snapshot
Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks
inferredcites →https://doi.org/10.1109/jiot.2022.3144026openalex-snapshot
Adaptive Fault-Tolerant Strategy for Latency-Aware IoT Application Executing in Edge Computing Environment
inferredcites →https://doi.org/10.1109/jiot.2024.3359297openalex-snapshot
Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2922285openalex-snapshot
Computation Offloading Toward Edge Computing
inferredcites →https://doi.org/10.1109/jsac.2019.2927065openalex-snapshot
5G-Slicing-Enabled Scalable SDN Core Network: Toward an Ultra-Low Latency of Autonomous Driving Service
inferredcites →https://doi.org/10.1109/mc.2017.3641638openalex-snapshot
Real-Time Video Analytics: The Killer App for Edge Computing
inferredcites →https://doi.org/10.1109/twc.2019.2927313openalex-snapshot
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1145/3531146.3533234openalex-snapshot
Measuring the Carbon Intensity of AI in Cloud Instances
inferredcites →https://doi.org/10.1145/3555802openalex-snapshot
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
inferredcites →https://doi.org/10.1186/s42162-023-00269-0openalex-snapshot
Enough hot air: the role of immersion cooling
inferredcites →https://doi.org/10.1364/ofc.2022.tu2a.4openalex-snapshot
Bringing 2-Phase Immersion Cooling to Hyperscale Cloud

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-13048-8_32openalex-snapshot
Intelligent Threat Perception and Adaptive Defense System for Power IoT Edge Network Based on Multimodal Large Model
inferred← citeshttps://doi.org/10.1007/978-3-032-16711-8_15openalex-snapshot
Edge Computing for Smart Retail: Enhancing Customer Experience, Efficiency, and Sustainability
inferred← citeshttps://doi.org/10.1007/978-3-032-16711-8_3openalex-snapshot
AI-Driven Edge Networks: Computational Intelligence for Secure and Efficient Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-19632-3_13openalex-snapshot
Edge Computing: Processing at the Edge
inferred← citeshttps://doi.org/10.1007/978-3-032-32045-2_28openalex-snapshot
AI-Driven Smart Management and Optimization of Green Hydrogen Production in Renewable Energy Grids Using Bio-Inspired Algorithms and Edge Computing
inferred← citeshttps://doi.org/10.1007/978-981-92-0294-2_8openalex-snapshot
Air Quality Monitoring Using Internet of Things (IoT) Technologies and Case Studies
inferred← citeshttps://doi.org/10.1016/j.ecmx.2026.102115openalex-snapshot
Risk-aware AI control framework for resilient distribution grids under extreme events
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101766openalex-snapshot
Edge-enabled GNSS-IR for efficient water level monitoring in harsh environments
inferred← citeshttps://doi.org/10.1038/s41598-026-41629-6openalex-snapshot
New-generation AI-driven intelligent decision-making and inventory optimization in the full lifecycle of complex product manufacturing integrating LSTM and Q-learning
inferred← citeshttps://doi.org/10.1109/auteee67053.2025.11321946openalex-snapshot
A Hierarchical Edge Computing Framework with Digital Twin and Predictive Control for Real-Time Environmental Optimization
inferred← citeshttps://doi.org/10.1109/comst.2026.3669216openalex-snapshot
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
inferred← citeshttps://doi.org/10.1109/ficloud70576.2026.00059openalex-snapshot
Prediction-based Server Selection for Latency-Sensitive Inference on CPU-Based Edge Servers under Containerized Contention
inferred← citeshttps://doi.org/10.1109/icc-robins64345.2025.11085155openalex-snapshot
Edge Computing Unveiled: A Deep Dive into Latest Technologies, Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/icecet63943.2025.11472323openalex-snapshot
Edge AI Benchmarking: Tools, Methodologies, and Optimization Strategies, a review
inferred← citeshttps://doi.org/10.1109/icecit67774.2025.11450956openalex-snapshot
Secure Edge : A Survey on Security Risks and Challenges in Edge Computing
inferred← citeshttps://doi.org/10.1109/icmcsi67283.2026.11412653openalex-snapshot
Carbon-Aware Task Offloading Framework for Sustainable Mobile Edge Computing in 6G Environments
inferred← citeshttps://doi.org/10.1109/icscss69635.2026.11646023openalex-snapshot
Green Edge Computing Architectures for Real-Time Environmental Monitoring Systems
inferred← citeshttps://doi.org/10.1109/iit.src67760.2026.11628845openalex-snapshot
Design and Migration of a Bare-Metal Event Gateway to a Scalable Event-Driven Serverless Architecture on AWS with Integrated Foundation Model-Based Automated JSON Analysis
inferred← citeshttps://doi.org/10.1109/jiot.2024.3504260openalex-snapshot
Pioneering Eco-Efficiency in Cloud Computing: The Carbon-Conscious Federated Reinforcement Learning (CCFRL) Approach
inferred← citeshttps://doi.org/10.1109/tcc.2026.3714538openalex-snapshot
TriCooling-CAT: A C arbon A nalysis T oolkit for SoC-Cluster Micro AI Data Center Design
inferred← citeshttps://doi.org/10.1109/vlsi-soc62099.2024.10767788openalex-snapshot
Fortified-Edge 5.0: Federated Learning for Secure and Reliable PUF in Authentication Systems
inferred← citeshttps://doi.org/10.1145/3756423.3756562openalex-snapshot
Research on Real-time Optimization of Intelligent Guide System Integrating Visual Perception and Edge Computing
inferred← citeshttps://doi.org/10.1145/3856984openalex-snapshot
RAPNet: Efficient Near-Sensor Radar Data Pre-Processing via DFT-to-GEMM Mapping
inferred← citeshttps://doi.org/10.1155/jece/8859701openalex-snapshot
Intuitionistic Fuzzy Feature Representation Enhanced Attention for Registration and Fusion of Multipolarized Rock Thin Section Images
inferred← citeshttps://doi.org/10.1186/s42162-024-00461-wopenalex-snapshot
Transforming the electrical grid: the role of AI in advancing smart, sustainable, and secure energy systems
inferred← citeshttps://doi.org/10.1561/1300000074openalex-snapshot
Resilience in Edge Computing: Challenges and Concepts
inferred← citeshttps://doi.org/10.1615/tfec2025.hpu.056368openalex-snapshot
Immersion Cooling in Data Centers: A Comprehensive Review of Benefits, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.3390/agriengineering6030164openalex-snapshot
Augmented Reality Applied to Identify Aromatic Herbs Using Mobile Devices
inferred← citeshttps://doi.org/10.3390/computers14050196openalex-snapshot
Improving Real-Time Economic Decisions Through Edge Computing: Implications for Financial Contagion Risk Management
inferred← citeshttps://doi.org/10.3390/technologies13110515openalex-snapshot
SHEAB: A Novel Automated Benchmarking Framework for Edge AI
inferred← citeshttps://doi.org/10.4018/979-8-3373-0766-4.ch004openalex-snapshot
Edge and Fog Computing for Sustainability
inferred← citeshttps://doi.org/10.4018/979-8-3373-4159-0.ch003openalex-snapshot
Artificial Intelligence and Digital Twin Applications in Wind Turbine Monitoring, Control, and Maintenance
inferred← citeshttps://doi.org/10.4018/979-8-3693-8069-7.ch019openalex-snapshot
Integrating Green Infrastructure With AI-Driven Dynamic Workload Optimization for Sustainable Cloud Computing
inferred← citeshttps://doi.org/10.4018/ijitn.409338openalex-snapshot
Dynamic Channel Optimization of Reconfigurable Intelligent Surface in Communications
inferred← citeshttps://doi.org/10.4108/eetiot.9404openalex-snapshot
Edge Computing for Computer Vision in IoT: Feasibility and Directions
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