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Leveraging Renewable Energy in Edge Clouds for Data Stream Analysis in IoT
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-04519-1_1openalex-snapshot
Adding Virtualization Capabilities to the Grid’5000 Testbed
inferredcites →https://doi.org/10.1007/978-3-319-49583-5_14openalex-snapshot
Microcities: A Platform Based on Microclouds for Neighborhood Services
inferredcites →https://doi.org/10.1007/s00607-016-0503-zopenalex-snapshot
Towards energy-proportional clouds partially powered by renewable energy
inferredcites →https://doi.org/10.1016/j.epsr.2008.09.017openalex-snapshot
Battery energy storage technology for power systems—An overview
inferredcites →https://doi.org/10.1016/j.pnsc.2008.07.014openalex-snapshot
Progress in electrical energy storage system: A critical review
inferredcites →https://doi.org/10.1023/a:1007614523901openalex-snapshot
Improved Boosting Algorithms Using Confidence-rated Predictions
inferredcites →https://doi.org/10.1109/cc.2014.6969789openalex-snapshot
An overview of Internet of Vehicles
inferredcites →https://doi.org/10.1109/cloud.2011.11openalex-snapshot
Elastic Stream Computing with Clouds
inferredcites →https://doi.org/10.1109/comst.2015.2444095openalex-snapshot
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/dsdis.2015.80openalex-snapshot
Opportunistic Scheduling in Clouds Partially Powered by Green Energy
inferredcites →https://doi.org/10.1109/jiot.2014.2325071openalex-snapshot
Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler
inferredcites →https://doi.org/10.1109/jsac.2016.2545559openalex-snapshot
Fog Computing May Help to Save Energy in Cloud Computing
inferredcites →https://doi.org/10.1109/jsac.2016.2611964openalex-snapshot
Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/mnet.2016.7437025openalex-snapshot
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study
inferredcites →https://doi.org/10.1109/smartcloud.2016.18openalex-snapshot
Challenges and Opportunities in Edge Computing
inferredcites →https://doi.org/10.1109/tcc.2016.2517653openalex-snapshot
Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics
inferredcites →https://doi.org/10.1109/tsg.2014.2330832openalex-snapshot
Toward a Realistic Performance Analysis of Storage Systems in Smart Grids
inferredcites →https://doi.org/10.1145/2462456.2464440openalex-snapshot
Scalable crowd-sourcing of video from mobile devices
inferredcites →https://doi.org/10.1145/2494621.2494641openalex-snapshot
Enabling autonomic computing on federated advanced cyberinfrastructures
inferredcites →https://doi.org/10.1145/2532637openalex-snapshot
A survey on techniques for improving the energy efficiency of large-scale distributed systems
inferredcites →https://doi.org/10.1145/279943.279960openalex-snapshot
Improved boosting algorithms using confidence-rated predictions
inferredcites →https://doi.org/10.1145/2967360.2967369openalex-snapshot
Quantifying the Impact of Edge Computing on Mobile Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119456735.ch15openalex-snapshot
Implementing the Internet of Things for Renewable Energy
inferred← citeshttps://doi.org/10.1002/cpe.4514openalex-snapshot
FRFB: Top‐k Followee Recommendation by exploring the Following Behaviors in social networks
inferred← citeshttps://doi.org/10.1002/dac.4974openalex-snapshot
A distributed swarm intelligence‐based energy‐saving method among massive edge nodes
inferred← citeshttps://doi.org/10.1007/978-3-031-15044-9_5openalex-snapshot
Internet of Things Toward Leveraging Renewable Energy
inferred← citeshttps://doi.org/10.1007/s11227-020-03310-1openalex-snapshot
Stochastic models for performance and cost analysis of a hybrid cloud and fog architecture
inferred← citeshttps://doi.org/10.1007/s11276-022-02920-2openalex-snapshot
A survey of research on computation offloading in mobile cloud computing
inferred← citeshttps://doi.org/10.1007/s11277-021-08723-6openalex-snapshot
An Edge-Computing Based Task-Unloading Technique with Privacy Protection for Internet of Connected Vehicles
inferred← citeshttps://doi.org/10.1016/j.future.2017.12.048openalex-snapshot
End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.062openalex-snapshot
Energy efficient task allocation and energy scheduling in green energy powered edge computing
inferred← citeshttps://doi.org/10.1016/j.future.2020.08.035openalex-snapshot
A request dispatching method for efficient use of renewable energy in fog computing environments
inferred← citeshttps://doi.org/10.1016/j.rser.2021.111787openalex-snapshot
A survey of challenges and solutions for the integration of renewable energy in datacenters
inferred← citeshttps://doi.org/10.1109/access.2017.2766165openalex-snapshot
Adaptive Energy-Aware Computation Offloading for Cloud of Things Systems
inferred← citeshttps://doi.org/10.1109/icssit48917.2020.9214168openalex-snapshot
Review of Ubiquitous Computing Based on Markov Chain and High Complexity Data Streaming Model
inferred← citeshttps://doi.org/10.1109/iscc.2018.8538589openalex-snapshot
Modeling the availability of an e-health system integrated with edge, fog and cloud infrastructures
inferred← citeshttps://doi.org/10.1109/jiot.2019.2892398openalex-snapshot
Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint
inferred← citeshttps://doi.org/10.1109/jiot.2020.2981958openalex-snapshot
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
inferred← citeshttps://doi.org/10.1109/jiot.2020.2993276openalex-snapshot
Effective Utilization of Renewable Energy Sources in Fog Computing Environment via Frequency and Modulation Level Scaling
inferred← citeshttps://doi.org/10.1186/s13677-018-0118-3openalex-snapshot
Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures
inferred← citeshttps://doi.org/10.3390/electronics9061010openalex-snapshot
Energy Efficient Computation Offloading Mechanism in Multi-Server Mobile Edge Computing—An Integer Linear Optimization Approach
inferred← citeshttps://doi.org/10.5753/sbrc.2019.7395openalex-snapshot
Modelos Estocásticos para Análise de Desempenho e Custo de uma Arquitetura Distribuída Nuvem e Névoa
inferred← citeshttps://doi.org/10.70675/0dffa64az219az4f75zad36z22cea0cae813openalex-snapshot
Scheduling in cloud data center powered by renewable energy only with mixed phases-based workload
inferred← citeshttps://doi.org/10.70675/36b1ac7bzd0e5z4e76za4a6zd2a20ddfec1aopenalex-snapshot
Resource allocation in a Cloud partially powered by renewable energy sources
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