Exact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Kouloumpris, Andreas, Stavrinides, Georgios L., Michael, Maria K., Theocharides, Theocharis |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum
by: Kouloumpris, Andreas, et al.
Published: (2025)
by: Kouloumpris, Andreas, et al.
Published: (2025)
A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum
by: Kouloumpris, Andreas, et al.
Published: (2026)
by: Kouloumpris, Andreas, et al.
Published: (2026)
An optimization framework for task allocation in the edge/hub/cloud paradigm
by: Kouloumpris, Andreas, et al.
Published: (2025)
by: Kouloumpris, Andreas, et al.
Published: (2025)
Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges
by: Stavrinides, Georgios L., et al.
Published: (2025)
by: Stavrinides, Georgios L., et al.
Published: (2025)
SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
by: Hamedi, Ali, et al.
Published: (2025)
by: Hamedi, Ali, et al.
Published: (2025)
Minimizing Energy in Reliability and Deadline-Ensured Workflow Scheduling in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)
by: Sarkar, Suvarthi, et al.
Published: (2025)
Efficient Probabilistic Workflow Scheduling for IaaS Clouds
by: Russo, Gabriele Russo, et al.
Published: (2024)
by: Russo, Gabriele Russo, et al.
Published: (2024)
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)
by: Wang, Zhiyu, et al.
Published: (2024)
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
by: Shan, Chenggang, et al.
Published: (2024)
by: Shan, Chenggang, et al.
Published: (2024)
Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
by: Etheredge, Marlon, et al.
Published: (2025)
by: Etheredge, Marlon, et al.
Published: (2025)
Edge System Design Using Containers and Unikernels for IoT Applications
by: Kaiser, Shahidullah, et al.
Published: (2024)
by: Kaiser, Shahidullah, et al.
Published: (2024)
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems
by: Bai, Jiahui, et al.
Published: (2024)
by: Bai, Jiahui, et al.
Published: (2024)
Resource Slicing through Intelligent Orchestration of Energy-aware IoT services in Edge-Cloud Continuum
by: Shahid, Hafiz Faheem, et al.
Published: (2024)
by: Shahid, Hafiz Faheem, et al.
Published: (2024)
Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm
by: Herabad, Mohammadsadeq Garshasbi, et al.
Published: (2024)
by: Herabad, Mohammadsadeq Garshasbi, et al.
Published: (2024)
A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
by: Schweisgut, Dominik, et al.
Published: (2026)
by: Schweisgut, Dominik, et al.
Published: (2026)
PHWSOA: A Pareto-based Hybrid Whale-Seagull Scheduling for Multi-Objective Tasks in Cloud Computing
by: Zhao, Zhi, et al.
Published: (2025)
by: Zhao, Zhi, et al.
Published: (2025)
EdgeWeaver: Accelerating IoT Application Development Across Edge-Cloud Continuum
by: Lertpongrujikorn, Pawissanutt, et al.
Published: (2026)
by: Lertpongrujikorn, Pawissanutt, et al.
Published: (2026)
A Multi-Simulation Bridge for IoT Digital Twins
by: Picone, Marco, et al.
Published: (2025)
by: Picone, Marco, et al.
Published: (2025)
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
by: Jayanetti, Amanda, et al.
Published: (2024)
by: Jayanetti, Amanda, et al.
Published: (2024)
Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
by: Chen, Shuyi, et al.
Published: (2025)
by: Chen, Shuyi, et al.
Published: (2025)
Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era
by: Horvath, Kurt, et al.
Published: (2025)
by: Horvath, Kurt, et al.
Published: (2025)
Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
by: Vasiljevic, Pavle, et al.
Published: (2025)
by: Vasiljevic, Pavle, et al.
Published: (2025)
Pruning Blockchain Protocols for Efficient Access Control in IoT Systems
by: Huang, Yongtao, et al.
Published: (2024)
by: Huang, Yongtao, et al.
Published: (2024)
Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum
by: Marcelino, Cynthia, et al.
Published: (2024)
by: Marcelino, Cynthia, et al.
Published: (2024)
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
by: Loisel, Filip, et al.
Published: (2024)
by: Loisel, Filip, et al.
Published: (2024)
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud
by: Mounesan, Motahare, et al.
Published: (2024)
by: Mounesan, Motahare, et al.
Published: (2024)
Impact Conflict Detection of IoT Services in Multi-resident Smart Homes
by: Chaki, Dipankar, et al.
Published: (2024)
by: Chaki, Dipankar, et al.
Published: (2024)
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
by: Chen, Yinfang, et al.
Published: (2025)
by: Chen, Yinfang, et al.
Published: (2025)
Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model
by: Sarkar, Suvarthi, et al.
Published: (2025)
by: Sarkar, Suvarthi, et al.
Published: (2025)
Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems
by: Ramicetty, P., et al.
Published: (2026)
by: Ramicetty, P., et al.
Published: (2026)
A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems
by: Wen, Yangyang, et al.
Published: (2025)
by: Wen, Yangyang, et al.
Published: (2025)
Performance Evaluation of Automated Multi-Service Deployment in Edge-Cloud Environments with the CODECO Toolkit
by: Koukis, Georgios, et al.
Published: (2026)
by: Koukis, Georgios, et al.
Published: (2026)
Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study
by: Paul, Tapajit Chandra, et al.
Published: (2026)
by: Paul, Tapajit Chandra, et al.
Published: (2026)
Neuro-Inspired Task Offloading in Edge-IoT Networks Using Spiking Neural Networks
by: Rossi, Fabio Diniz
Published: (2025)
by: Rossi, Fabio Diniz
Published: (2025)
A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
by: Jayanetti, Amanda, et al.
Published: (2024)
by: Jayanetti, Amanda, et al.
Published: (2024)
Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)
by: Li, Senyao, et al.
Published: (2026)
Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)
by: Gao, Chuanchao, et al.
Published: (2025)
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
by: Mangala, N, et al.
Published: (2025)
by: Mangala, N, et al.
Published: (2025)
Efficient Profit Maximization in Reliability Concerned Static Vehicular Cloud System
by: Sarkar, Suvarthi, et al.
Published: (2023)
by: Sarkar, Suvarthi, et al.
Published: (2023)
Similar Items
-
Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum
by: Kouloumpris, Andreas, et al.
Published: (2025) -
A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum
by: Kouloumpris, Andreas, et al.
Published: (2026) -
An optimization framework for task allocation in the edge/hub/cloud paradigm
by: Kouloumpris, Andreas, et al.
Published: (2025) -
Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges
by: Stavrinides, Georgios L., et al.
Published: (2025) -
SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge
by: Hamedi, Ali, et al.
Published: (2025)