Juan Aznar-Poveda

Orcid: 0000-0002-0879-6651

According to our database1, Juan Aznar-Poveda authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Pulse: Multi-objective scheduling of service-based applications in multi-cluster cloud-edge-IoT infrastructures.
J. Netw. Comput. Appl., 2026

CADD: Collaborative adaptive duty cycle and data reduction for congestion control in LoRaWAN.
Internet Things, 2026

FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies.
IEEE Access, 2026

2025
Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum.
CoRR, July, 2025

STREAMLINE: Dynamic and Resource-Efficient Auto-Tuning of Stream Processing Data Pipeline Ensembles.
Internet Things, 2025

ADRL: A reconfigurable energy-efficient transmission policy for mobile LoRa devices based on reinforcement learning.
Internet Things, 2025

SmartKV: A cost-effective and low-latency geo-distributed key-value store for the computing continuum.
Future Gener. Comput. Syst., 2025

ScaleIP: A hybrid autoscaling of VoIP services based on deep reinforcement learning.
Comput. Commun., 2025

DatApollo: Orchestration of Serverless Functions for Scalable Data Mining.
IEEE Access, 2025

DRAF: A Drift-Resilient Averaging in Federated Learning across the Cloud Edge Continuum.
Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025

FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud-Edge Continuum.
Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025

2024
Proactive Adaptation of Data Rate in Mobile LoRa-Based IoT Devices Using Machine Learning.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Dynamic Resource Manager for Automating Deployments in the Computing Continuum.
Proceedings of the Euro-Par 2024: Parallel Processing Workshops, 2024

Dynamic Workflow Scheduling in the Edge-Cloud Continuum: Optimizing Runtimes Under Budget Constraints.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Dynamic transmission policy for enhancing LoRa network performance: A deep reinforcement learning approach.
Internet Things, December, 2023

SDKV: A Smart and Distributed Key-Value Store for the Edge-Cloud Continuum.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

2021
Simultaneous Data Rate and Transmission Power Adaptation in V2V Communications: A Deep Reinforcement Learning Approach.
IEEE Access, 2021

MDPRP: A Q-Learning Approach for the Joint Control of Beaconing Rate and Transmission Power in VANETs.
IEEE Access, 2021

2020
Quick and Cost-Effective Estimation of Vitamin C in Multifruit Juices Using Voltammetric Methods.
Sensors, 2020

Cooperative Awareness Message Dissemination in EN 302 637-2: an Adaptation for Winding Roads.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Advisory Speed Estimation for an Improved V2X Communications Awareness in Winding Roads.
Proceedings of the 22nd International Conference on Transparent Optical Networks, 2020

2019
Time-to-Collision-Based Awareness and Congestion Control for Vehicular Communications.
IEEE Access, 2019

2018
A COTS-Based Portable System to Conduct Accurate Substance Concentration Measurements.
Sensors, 2018


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