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Edge Computing Server Placement Strategy Based on SPEA2 in Power Internet of Things

https://doi.org/10.1155/2022/3810670
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What this work says

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

inferredcites →https://doi.org/10.1016/j.epsr.2017.09.022openalex-snapshot
A conductor arrangement that overcomes the effective length issue in transmission line grounding
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/access.2019.2943848openalex-snapshot
Differentiated Service/Data Migration for Edge Services Leveraging Container Characteristics
inferredcites →https://doi.org/10.1109/acpee51499.2021.9436893openalex-snapshot
Workload Modelling Method of Edge Computing Terminals for Distribution Service Under Power Internet of Things
inferredcites →https://doi.org/10.1109/cloudnet.2016.45openalex-snapshot
GRECO: A Distributed Genetic Algorithm for Reliable Application Placement in Hybrid Clouds
inferredcites →https://doi.org/10.1109/comst.2017.2705720openalex-snapshot
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
inferredcites →https://doi.org/10.1109/comst.2021.3106669openalex-snapshot
A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems
inferredcites →https://doi.org/10.1109/cscloud-edgecom49738.2020.00044openalex-snapshot
Service Placement for Real-Time Applications: Rate-Adaptation and Load-Balancing at the Network Edge
inferredcites →https://doi.org/10.1109/edge.2019.00016openalex-snapshot
Meet Genetic Algorithms in Monte Carlo: Optimised Placement of Multi-Service Applications in the Fog
inferredcites →https://doi.org/10.1109/globecom46510.2021.9685550openalex-snapshot
Graph-Based Edge-User Collaborative Caching with Social Attributes
inferredcites →https://doi.org/10.1109/itnec52019.2021.9587209openalex-snapshot
Research on the Application of 5G Edge Computing Technology in the Power Internet of Things
inferredcites →https://doi.org/10.1109/itnec52019.2021.9587214openalex-snapshot
Intelligent networking model at the edge of the power Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2019.2959124openalex-snapshot
Trust-Oriented IoT Service Placement for Smart Cities in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2022.3157552openalex-snapshot
An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing
inferredcites →https://doi.org/10.1109/mwc.201.2100155openalex-snapshot
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
inferredcites →https://doi.org/10.1109/rteict52294.2021.9573996openalex-snapshot
Comparative Analysis of Edge Computing and Edge Devices: Key Technology in IoT and Computer Vision Applications
inferredcites →https://doi.org/10.1109/tii.2021.3097131openalex-snapshot
A Blockchain-Based Machine Learning Framework for Edge Services in IIoT
inferredcites →https://doi.org/10.1109/tmc.2018.2883952openalex-snapshot
Beef Up the Edge: Spectrum-Aware Placement of Edge Computing Services for the Internet of Things
inferredcites →https://doi.org/10.1109/tnet.2020.3025985openalex-snapshot
Service Placement for Collaborative Edge Applications
inferredcites →https://doi.org/10.1109/tnse.2019.2940958openalex-snapshot
A Task-Oriented User Selection Incentive Mechanism in Edge-Aided Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/tnse.2021.3130251openalex-snapshot
Joint Dynamic Task Offloading and Resource Scheduling for WPT Enabled Space-Air-Ground Power Internet of Things
inferredcites →https://doi.org/10.1109/tpds.2019.2950937openalex-snapshot
Energy-Aware Application Placement in Mobile Edge Computing: A Stochastic Optimization Approach
inferredcites →https://doi.org/10.1109/tpds.2020.3046000openalex-snapshot
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks
inferredcites →https://doi.org/10.1109/tvt.2019.2904244openalex-snapshot
Collaborative Cloud and Edge Computing for Latency Minimization
inferredcites →https://doi.org/10.23919/cnsm50824.2020.9269059openalex-snapshot
Dynamic Service Placement and Load Distribution in Edge Computing

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.5085683openalex-extracted
Hybrid Nsga-Ii and Deep Reinforcement for Cloud Resource Optimization in Simulated Cloud Computing Environment
inferred← citeshttps://doi.org/10.1007/978-981-97-8422-6_34openalex-snapshot
Design of Hybrid Approach for Cloud Resource Allocation Using Genetic Algorithms and ML Techniques
inferred← citeshttps://doi.org/10.1007/s10586-024-04710-1openalex-snapshot
Optimizing edge server placement and allocation for enhanced energy efficiency: a multi-objective approach based on decision space and elitism
inferred← citeshttps://doi.org/10.1109/icebe68123.2025.00052openalex-snapshot
Evolutionary Algorithm Behavior to Optimize the IoT Scheduling Problem
inferred← citeshttps://doi.org/10.1109/iconstem65670.2025.11374306openalex-snapshot
Cloud Computing-Optimized Economic Simulation Framework for Infrastructure Investment
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