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iThermoFog: IoT‐Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques
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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/cpe.5221openalex-snapshot
ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation
inferredcites →https://doi.org/10.1002/itl2.141openalex-snapshot
Fog‐enabled vehicular networks: A new challenge for mobility management
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-0-387-73003-5_196openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/978-3-319-62238-5_8openalex-snapshot
Short-Term Prediction Model to Maximize Renewable Energy Usage in Cloud Data Centers
inferredcites →https://doi.org/10.1016/j.compind.2019.103164openalex-snapshot
Integrating artificial intelligent techniques and continuous time simulation modelling. Practical predictive analytics for energy efficiency and failure detection
inferredcites →https://doi.org/10.1016/j.future.2008.12.001openalex-snapshot
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
inferredcites →https://doi.org/10.1016/j.iot.2019.100118openalex-snapshot
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
inferredcites →https://doi.org/10.1016/j.jss.2019.04.050openalex-snapshot
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
inferredcites →https://doi.org/10.1016/j.jss.2019.04.058openalex-snapshot
ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices
inferredcites →https://doi.org/10.1016/j.jss.2020.110596openalex-snapshot
ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments
inferredcites →https://doi.org/10.1016/j.suscom.2011.06.005openalex-snapshot
An overview and classification of thermal-aware scheduling techniques for multi-core processing systems
inferredcites →https://doi.org/10.1109/tbdata.2017.2763612openalex-snapshot
Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers
inferredcites →https://doi.org/10.1109/tcc.2019.2899310openalex-snapshot
A Game-based Thermal-Aware Resource Allocation Strategy for Data Centers
inferredcites →https://doi.org/10.1109/tpami.2005.162openalex-snapshot
Genetic-based EM algorithm for learning Gaussian mixture models
inferredcites →https://doi.org/10.1145/3366682openalex-snapshot
A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing
inferredcites →https://doi.org/10.12720/jcm.9.4.299-311openalex-snapshot
Thermal Modeling and Analysis of Cloud Data Storage Systems
inferredcites →https://doi.org/10.25271/sjuoz.2018.6.3.515openalex-snapshot
Load Balancing and Thermal-Aware in Geo-Distributed Cloud Data Centers Based on Vlans
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/itl2.275openalex-snapshot
Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions
inferred← citeshttps://doi.org/10.1002/itl2.70295openalex-snapshot
Industrial IoT –Enabled Graph‐Structured Potential Game Learning With Communication‐Constrained Distributed Policy Gradients
inferred← citeshttps://doi.org/10.1007/978-3-030-71172-6_12openalex-snapshot
Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat
inferred← citeshttps://doi.org/10.1007/978-3-030-74402-1_13openalex-snapshot
A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-58068-0_2openalex-snapshot
The Intersection of Blockchain Technology and the Quantum Era for Sustainable Medical Services
inferred← citeshttps://doi.org/10.1007/978-981-16-3128-3_6openalex-snapshot
Particle Swarm Optimization Advances in Internet of Things Industry
inferred← citeshttps://doi.org/10.1007/s11277-021-08699-3openalex-snapshot
Recommender System for Optimal Distributed Deep Learning in Cloud Datacenters
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110879openalex-snapshot
A novel multi-modal Federated Learning based thermal-aware job scheduling framework
inferred← citeshttps://doi.org/10.1016/j.future.2026.108832openalex-snapshot
VCFogSim: A low-code discrete-event simulator for modeling and evaluating volunteer fog computing environments
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100514openalex-snapshot
AI for next generation computing: Emerging trends and future directions
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100674openalex-snapshot
AI-based fog and edge computing: A systematic review, taxonomy and future directions
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103648openalex-snapshot
AI augmented Edge and Fog computing: Trends and challenges
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.06.005openalex-snapshot
Fog computing: A taxonomy, systematic review, current trends and research challenges
inferred← citeshttps://doi.org/10.1016/j.simpat.2021.102353openalex-snapshot
Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.101996openalex-snapshot
A priority, power and traffic-aware virtual machine placement of IoT applications in cloud data centers
inferred← citeshttps://doi.org/10.1016/j.teler.2024.100116openalex-snapshot
Modern computing: Vision and challenges
inferred← citeshttps://doi.org/10.1109/tpds.2021.3087349openalex-snapshot
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
inferred← citeshttps://doi.org/10.1109/tpds.2021.3136672openalex-snapshot
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
inferred← citeshttps://doi.org/10.1109/tsusc.2023.3346332openalex-snapshot
Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review
inferred← citeshttps://doi.org/10.1186/s13677-021-00264-4openalex-snapshot
An efficient population-based multi-objective task scheduling approach in fog computing systems
inferred← citeshttps://doi.org/10.58254/viti.5.2024.01.05openalex-snapshot
Choice of architecture of video surveillance systems of State Border Guard of Ukraine based on cloud and fog technologies
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