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Green Demand Aware Fog Computing: A Prediction-Based Dynamic Resource Provisioning Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119994374openalex-snapshot
Fuzzy Logic with Engineering Applications
inferredcites →https://doi.org/10.1007/978-3-030-17513-9_11openalex-snapshot
TME2R: Trust Management-Based Energy Efficient Routing Scheme in Fog-Assisted Industrial Wireless Sensor Network
inferredcites →https://doi.org/10.1007/s10586-014-0404-xopenalex-snapshot
Energy-efficient data replication in cloud computing datacenters
inferredcites →https://doi.org/10.1016/b978-0-12-385512-1.00003-7openalex-snapshot
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
inferredcites →https://doi.org/10.1016/j.comcom.2020.03.001openalex-snapshot
Energy and delay efficient fog computing using caching mechanism
inferredcites →https://doi.org/10.1016/j.eswa.2009.07.064openalex-snapshot
Grey system theory-based models in time series prediction
inferredcites →https://doi.org/10.1016/j.future.2018.05.061openalex-snapshot
Find my trustworthy fogs: A fuzzy-based trust evaluation framework
inferredcites →https://doi.org/10.1016/j.future.2021.07.036openalex-snapshot
EnTruVe: ENergy and TRUst-aware Virtual Machine allocation in VEhicle fog computing for catering applications in 5G
inferredcites →https://doi.org/10.1016/j.iot.2018.08.003openalex-snapshot
An energy-efficient model for fog computing in the Internet of Things (IoT)
inferredcites →https://doi.org/10.1016/j.matpr.2021.01.700openalex-snapshot
WITHDRAWN: DESD-CAT inspired algorithm for establishing trusted connection in energy efficient FoG-BAN networks
inferredcites →https://doi.org/10.1016/j.procs.2017.05.357openalex-snapshot
On Participatory Service Provision at the Network Edge with Community Home Gateways
inferredcites →https://doi.org/10.1016/j.scs.2020.102428openalex-snapshot
A genetic algorithm for energy efficient fog layer resource management in context-aware smart cities
inferredcites →https://doi.org/10.1109/access.2020.3004738openalex-snapshot
Off-Street Vehicular Fog for Catering Applications in 5G/B5G: A Trust-Based Task Mapping Solution and Open Research Issues
inferredcites →https://doi.org/10.1109/cloud.2015.133openalex-snapshot
Optimizing Cloud Data Center Energy Efficiency via Dynamic Prediction of CPU Idle Intervals
inferredcites →https://doi.org/10.1109/cloud.2015.58openalex-snapshot
Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing
inferredcites →https://doi.org/10.1109/icc.2013.6654920openalex-snapshot
Accounting for load variation in energy-efficient data centers
inferredcites →https://doi.org/10.1109/icc.2014.6883918openalex-snapshot
Design of a low-latency, high-reliability wireless communication system for control applications
inferredcites →https://doi.org/10.1109/iceac.2011.6136680openalex-snapshot
CloudESE: Energy efficiency model for cloud computing environments
inferredcites →https://doi.org/10.1109/infcom.2012.6195846openalex-snapshot
Energy-aware load balancing in content delivery networks
inferredcites →https://doi.org/10.1109/jiot.2021.3068056openalex-snapshot
Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities
inferredcites →https://doi.org/10.1109/jlt.2014.2327629openalex-snapshot
Bayesian Estimation and Prediction-Based Dynamic Bandwidth Allocation Algorithm for Sleep/Doze-Mode Passive Optical Networks
inferredcites →https://doi.org/10.1109/jsac.2018.2872287openalex-snapshot
Distributed Optimization for Energy-Efficient Fog Computing in the Tactile Internet
inferredcites →https://doi.org/10.1109/jsyst.2018.2877850openalex-snapshot
Energy-Efficient Task Offloading for Time-Sensitive Applications in Fog Computing
inferredcites →https://doi.org/10.1109/mcom.2017.1600885openalex-snapshot
Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks
inferredcites →https://doi.org/10.1109/mnet.2015.7064904openalex-snapshot
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
inferredcites →https://doi.org/10.1109/surv.2012.102512.00019openalex-snapshot
A Survey of Power-Saving Techniques on Data Centers and Content Delivery Networks
inferredcites →https://doi.org/10.1109/tgcn.2019.2953891openalex-snapshot
Frequency-Reconfigurable Cloud Versus Fog Computing: An Energy-Efficiency Aspect
inferredcites →https://doi.org/10.1109/tii.2012.2189222openalex-snapshot
Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things
inferredcites →https://doi.org/10.1109/tii.2018.2818932openalex-snapshot
Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory
inferredcites →https://doi.org/10.1109/tii.2019.2920277openalex-snapshot
Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things
inferredcites →https://doi.org/10.1109/tnnls.2021.3083898openalex-snapshot
Memory-Event-Triggered Output Control of Neural Networks With Mixed Delays
inferredcites →https://doi.org/10.1109/wcnc.2010.5506413openalex-snapshot
Minimizing Energy Consumption via Sleep Mode in Green Base Station
inferredcites →https://doi.org/10.1145/1740390.1740405openalex-snapshot
On the energy (in)efficiency of Hadoop clusters
inferredcites →https://doi.org/10.1145/1791314.1791320openalex-snapshot
Optimal sleep patterns for serving delay-tolerant jobs
inferredcites →https://doi.org/10.1145/3139958.3140053openalex-snapshot
Traffic Prediction Based Power Saving in Cellular Networks
inferredcites →https://doi.org/10.18564/jasss.2885openalex-snapshot
Fuzzy Logic for Social Simulation Using NetLogo
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ett.4731openalex-snapshot
A systematic review on resource provisioning in fog computing
inferred← citeshttps://doi.org/10.1007/978-981-99-1767-9_41openalex-snapshot
Fuzzy Logic and ANN in an Artificial Intelligent Cloud: A Comparative Study
inferred← citeshttps://doi.org/10.1007/s11042-023-16399-2openalex-snapshot
Machine learning-based solutions for resource management in fog computing
inferred← citeshttps://doi.org/10.1007/s11227-024-06081-1openalex-snapshot
Fog-Marketing: auction-based multi-tier decentralized markets for fog resource provisioning
inferred← citeshttps://doi.org/10.1007/s11277-023-10707-7openalex-snapshot
Reduce Energy Consumption by Intelligent Decision-Making in a Fog-Cloud Environment
inferred← citeshttps://doi.org/10.1007/s11831-025-10417-2openalex-snapshot
A Survey on Edge/Fog Caching Based on Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1007/s13198-024-02446-0openalex-snapshot
Resource provisioning optimization in fog computing: a hybrid meta-heuristic algorithm approach
inferred← citeshttps://doi.org/10.1109/access.2024.3406338openalex-snapshot
Dynamic Demand-Aware Power Grid Intelligent Pricing Algorithm Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3447097openalex-snapshot
A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/cita58204.2023.10262565openalex-snapshot
Fog Computing in Optical Access Networks: An Energy-efficient and Deadline-aware Task Scheduling Mechanism
inferred← citeshttps://doi.org/10.1109/icict55121.2022.10064614openalex-snapshot
Energy Cognizant Scheduling in Three-Layer Cloud Architecture: A Systematic Review
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i7p120openalex-snapshot
Cloud Brain Fog Scheduler Machine Learning-Enhanced Task Allocation
inferred← citeshttps://doi.org/10.32604/cmc.2025.062657openalex-snapshot
A Comprehensive Study of Resource Provisioning and Optimization in Edge Computing
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