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IEGA: An improved elitism‐based genetic algorithm for task scheduling problem in fog computing
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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/ett.3770openalex-snapshot
An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing
inferredcites →https://doi.org/10.1002/ett.3880openalex-snapshot
Latency‐minimum offloading decision and resource allocation for fog‐enabled Internet of Things networks
inferredcites →https://doi.org/10.1007/s11069-014-1091-xopenalex-snapshot
The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2017.07.002openalex-snapshot
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
inferredcites →https://doi.org/10.1016/j.future.2018.07.049openalex-snapshot
Enabling technologies for fog computing in healthcare IoT systems
inferredcites →https://doi.org/10.1016/j.future.2019.02.056openalex-snapshot
Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.022openalex-snapshot
SCA: A Sine Cosine Algorithm for solving optimization problems
inferredcites →https://doi.org/10.1016/j.knosys.2019.105190openalex-snapshot
Equilibrium optimizer: A novel optimization algorithm
inferredcites →https://doi.org/10.1016/j.sysarc.2019.02.009openalex-snapshot
All one needs to know about fog computing and related edge computing paradigms: A complete survey
inferredcites →https://doi.org/10.1023/a:1022602019183openalex-snapshot
Genetic Algorithms and Machine Learning
inferredcites →https://doi.org/10.1080/17517575.2017.1304579openalex-snapshot
Fog computing job scheduling optimization based on bees swarm
inferredcites →https://doi.org/10.1109/access.2020.2975741openalex-snapshot
Efficient Task Offloading for IoT-Based Applications in Fog Computing Using Ant Colony Optimization
inferredcites →https://doi.org/10.1109/bds/hpsc/ids18.2018.00030openalex-snapshot
A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing
inferredcites →https://doi.org/10.1109/ccwc.2019.8666447openalex-snapshot
Towards Fault Tolerant Fog Computing for IoT-Based Smart City Applications
inferredcites →https://doi.org/10.1109/compsac.2018.00085openalex-snapshot
Energy Efficient Scheduling for Heterogeneous Fog Computing Architectures
inferredcites →https://doi.org/10.1109/iccisci.2019.8716467openalex-snapshot
Cloud and Fog based Integrated Environment for Load Balancing using Cuckoo Levy Distribution and Flower Pollination for Smart Homes
inferredcites →https://doi.org/10.1109/infcom.2012.6195845openalex-snapshot
ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading
inferredcites →https://doi.org/10.1109/jiot.2016.2565516openalex-snapshot
Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption
inferredcites →https://doi.org/10.1109/jiot.2020.3012617openalex-snapshot
Energy-Aware Metaheuristic Algorithm for Industrial-Internet-of-Things Task Scheduling Problems in Fog Computing Applications
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/tevc.2003.814633openalex-snapshot
Elitism-based compact genetic algorithms
inferredcites →https://doi.org/10.1109/tii.2018.2851241openalex-snapshot
Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tii.2020.3001067openalex-snapshot
Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications
inferredcites →https://doi.org/10.1142/9789813220393_0075openalex-snapshot
Analysis of the ethnic minority living activities CO2 emissions from 2012 to 2014: A case study in Yunnan
inferredcites →https://doi.org/10.1186/s13638-019-1395-3openalex-snapshot
Utilization and load balancing in fog servers for health applications
inferredcites →https://doi.org/10.23919/fruct.2017.8250193openalex-snapshot
Scheduling of fog networks with optimized knapsack by symbiotic organisms search
inferredcites →https://doi.org/10.3906/elk-1810-47openalex-snapshot
Low-latency and energy-efficient scheduling in fog-based IoT applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Adaptive complex network topology with fitness distance correlation framework for particle swarm optimization
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Deep reinforcement learning‐based multitask hybrid computing offloading for multiaccess edge computing
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A Load-Balanced Task Scheduling in Fog-Cloud Architecture: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-82733-4_11openalex-snapshot
Real-Time IOT Applications Offloading Decision Strategy
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Optimized Energy Efficient Task Scheduling in Fog Computing
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Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
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Resource Scheduling Techniques for Optimal Quality of Service in Fog Computing Environment: A Review
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