Cover Image

Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guerrero, Carlos, Lera, Isaac, Juiz, Carlos
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
by: Guerrero, Carlos, et al.
Published: (2025)

Optimization policy for file replica placement in fog domains
by: Guerrero, Carlos, et al.
Published: (2024)

Genetic-based fog colony optimization hybridized with hierarchical clustering and its influence in the placement of fog services
by: Talavera, Francisco, et al.
Published: (2022)

Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
by: Lera, Isaac, et al.
Published: (2026)

HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
by: Frank, Gwenevere, et al.
Published: (2025)

GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
by: Khatoonabadi, SayedHassan, et al.
Published: (2021)

A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
by: Sliwko, Leszek
Published: (2025)

A platform for lightweight deployment of IoT applications based on a Function-as-a-Service model
by: Sansó, Sebastià, et al.
Published: (2024)

Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
by: Lin, Ruhai, et al.
Published: (2024)

A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
by: Harada, Tomohiro, et al.
Published: (2021)

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
by: Sun, Yunrui, et al.
Published: (2024)

Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks
by: Fournier, Louis, et al.
Published: (2024)

Comparison of Microservice Call Rate Predictions for Replication in the Cloud
by: Mehran, Narges, et al.
Published: (2023)

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
by: Hajizada, Elvin, et al.
Published: (2025)

Edge Intelligence with Spiking Neural Networks
by: Deng, Shuiguang, et al.
Published: (2025)

STEMS: Spatial-Temporal Mapping For Spiking Neural Networks
by: Eissa, Sherif, et al.
Published: (2025)

Neural Cellular Automata Can Respond to Signals
by: Stovold, James
Published: (2023)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
by: Huang, Beichen, et al.
Published: (2025)

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
by: Haynes, Houston
Published: (2026)

Hopfield Networks Meet Big Data: A Brain-Inspired Deep Learning Framework for Semantic Data Linking
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)

D-CODE: Data Colony Optimization for Dynamic Network Efficiency
by: Pandey, Tannu, et al.
Published: (2024)

Code generation and runtime techniques for enabling data-efficient deep learning training on GPUs
by: Wu, Kun
Published: (2024)

SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
by: Wu, Kun, et al.
Published: (2024)

Trackable Agent-based Evolution Models at Wafer Scale
by: Moreno, Matthew Andres, et al.
Published: (2024)

Trackable Island-model Genetic Algorithms at Wafer Scale
by: Moreno, Matthew Andres, et al.
Published: (2024)

Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units
by: Hernández-Tello, Javier, et al.
Published: (2024)

A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
by: Harada, Tomohiro
Published: (2021)

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2
by: Wang, Felix, et al.
Published: (2025)

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
by: Saleh, Alaa, et al.
Published: (2026)

HydroFusion-LMF: Semi-Supervised Multi-Network Fusion with Large-Model Adaptation for Long-Term Daily Runoff Forecasting
by: Fan, Qianfei, et al.
Published: (2025)

Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
by: Serpen, Gursel
Published: (2025)

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
by: Dutta, Siddhant, et al.
Published: (2024)

Hybrid Approach to Parallel Stochastic Gradient Descent
by: Vora, Aakash Sudhirbhai, et al.
Published: (2024)

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
by: Zhu, Peijun, et al.
Published: (2025)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
by: Chen, Samuel Yen-Chi
Published: (2024)

Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware
by: Abreu, Steven, et al.
Published: (2024)

Neuromorphic hardware for sustainable AI data centers
by: Vogginger, Bernhard, et al.
Published: (2024)

Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
by: Aimone, James B
Published: (2025)

phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
by: Fischer, Stefan, et al.
Published: (2026)

The AI Shadow War: SaaS vs. Edge Computing Architectures
by: Marpu, Rhea Pritham, et al.
Published: (2025)