LIMO: Load-balanced Offloading with MAPE and Particle Swarm Optimization in Mobile Fog Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Seraj, Yasaman, Fadaei, Soheil, Safaei, Bardia, Javadi, Ali, Monazzah, Amir Mahdi Hosseini, Hemmatyar, Ali Mohammad Afshin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EdgeLinker: Practical Blockchain-based Framework for Healthcare Fog Applications to Enhance Security in Edge-IoT Data Communications
by: Zarkesh, Mahdi Akbari, et al.
Published: (2024)
by: Zarkesh, Mahdi Akbari, et al.
Published: (2024)
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025)
by: Mahdizadeh, Soheil, et al.
Published: (2025)
RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks
by: Arefijamal, Pouria, et al.
Published: (2026)
by: Arefijamal, Pouria, et al.
Published: (2026)
CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025)
by: Mahdizadeh, Soheil, et al.
Published: (2025)
Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
by: Shah, Syed Sarmad, et al.
Published: (2025)
by: Shah, Syed Sarmad, et al.
Published: (2025)
Static Generation of Efficient OpenMP Offload Data Mappings
by: Marzen, Luke, et al.
Published: (2024)
by: Marzen, Luke, et al.
Published: (2024)
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
by: Yahya, Mariam, et al.
Published: (2024)
by: Yahya, Mariam, et al.
Published: (2024)
FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
Observability in Fog Computing
by: Araujo, Aleteia, et al.
Published: (2024)
by: Araujo, Aleteia, et al.
Published: (2024)
Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
by: Battula, Sudheer Kumar, et al.
Published: (2023)
by: Battula, Sudheer Kumar, et al.
Published: (2023)
Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment
by: Yamato, Yoji
Published: (2020)
by: Yamato, Yoji
Published: (2020)
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
by: Ali-Pour, Amir, et al.
Published: (2025)
by: Ali-Pour, Amir, et al.
Published: (2025)
Optimizing Task Scheduling in Fog Computing with Deadline Awareness
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology
by: Wu, Yanjie, et al.
Published: (2025)
by: Wu, Yanjie, et al.
Published: (2025)
SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT
by: Ali-Pour, Amir, et al.
Published: (2025)
by: Ali-Pour, Amir, et al.
Published: (2025)
A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
by: Mukherjee, Anwesha, et al.
Published: (2024)
by: Mukherjee, Anwesha, et al.
Published: (2024)
Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions
by: Moghaddasi, Komeil, et al.
Published: (2024)
by: Moghaddasi, Komeil, et al.
Published: (2024)
To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing In the Era of Accelerators
by: Ng, Nathan, et al.
Published: (2025)
by: Ng, Nathan, et al.
Published: (2025)
Preemption Aware Task Scheduling for Priority and Deadline Constrained DNN Inference Task Offloading in Homogeneous Mobile-Edge Networks
by: Cotter, Jamie, et al.
Published: (2025)
by: Cotter, Jamie, et al.
Published: (2025)
Enhancing Cloud Task Scheduling Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach
by: Prasad, Raveena, et al.
Published: (2025)
by: Prasad, Raveena, et al.
Published: (2025)
OffloadFS: Leveraging Disaggregated Storage for Computation Offloading
by: Moon, Sungho, et al.
Published: (2026)
by: Moon, Sungho, et al.
Published: (2026)
Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
Fog enabled distributed training architecture for federated learning
by: Kumar, Aditya, et al.
Published: (2024)
by: Kumar, Aditya, et al.
Published: (2024)
Distributed Edge Analytics in Edge-Fog-Cloud Continuum
by: Srirama, Satish Narayana
Published: (2024)
by: Srirama, Satish Narayana
Published: (2024)
FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
BCM-Broadcast: A Byzantine-Tolerant Causal Broadcast Algorithm for Distributed Mobile Systems
by: NamvariTazehkand, Leila, et al.
Published: (2024)
by: NamvariTazehkand, Leila, et al.
Published: (2024)
10Cache: Heterogeneous Resource-Aware Tensor Caching and Migration for LLM Training
by: Afroz, Sabiha, et al.
Published: (2025)
by: Afroz, Sabiha, et al.
Published: (2025)
LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
by: Korndörfer, Jonas H. Müller, et al.
Published: (2021)
by: Korndörfer, Jonas H. Müller, et al.
Published: (2021)
Plug & Offload: Transparently Offloading TCP Stack onto Off-path SmartNIC with PnO-TCP
by: Nan, Hailong, et al.
Published: (2025)
by: Nan, Hailong, et al.
Published: (2025)
Performance and Security Aware Distributed Service Placement in Fog Computing
by: Goudarzi, Mohammad, et al.
Published: (2026)
by: Goudarzi, Mohammad, et al.
Published: (2026)
Achieving Observability on Fog Computing with the use of open-source tools
by: Costa, Breno, et al.
Published: (2024)
by: Costa, Breno, et al.
Published: (2024)
Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog Computing
by: Akbar, Saeed, et al.
Published: (2026)
by: Akbar, Saeed, et al.
Published: (2026)
A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
by: Trieu, Quoc Lap, et al.
Published: (2026)
by: Trieu, Quoc Lap, et al.
Published: (2026)
A Survey of Computation Offloading with Task Types
by: Zhang, Siqi, et al.
Published: (2023)
by: Zhang, Siqi, et al.
Published: (2023)
Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
by: Naha, Ranesh, et al.
Published: (2021)
by: Naha, Ranesh, et al.
Published: (2021)
Declarative Application Management in the Fog. A bacteria-inspired decentralised approach
by: Brogi, Antonio, et al.
Published: (2025)
by: Brogi, Antonio, et al.
Published: (2025)
QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
by: Rahmaty, Iman, et al.
Published: (2023)
by: Rahmaty, Iman, et al.
Published: (2023)
Exploring the Emerging Technologies within the Blockchain Landscape
by: Tareq, Mohammad Ali, et al.
Published: (2024)
by: Tareq, Mohammad Ali, et al.
Published: (2024)
SwarmRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments
by: Dev, Kapel, et al.
Published: (2025)
by: Dev, Kapel, et al.
Published: (2025)
Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
by: Ma, Ke, et al.
Published: (2024)
by: Ma, Ke, et al.
Published: (2024)
Similar Items
-
EdgeLinker: Practical Blockchain-based Framework for Healthcare Fog Applications to Enhance Security in Edge-IoT Data Communications
by: Zarkesh, Mahdi Akbari, et al.
Published: (2024) -
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025) -
RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks
by: Arefijamal, Pouria, et al.
Published: (2026) -
CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025) -
Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
by: Shah, Syed Sarmad, et al.
Published: (2025)