Jossekin Beilharz

According to our database1, Jossekin Beilharz authored at least 13 papers between 2015 and 2022.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

Integration of C-V2X Into a Hybrid Testbed to Co-Simulate ITS Applications and Scenarios.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

2021
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters.
Concurr. Comput. Pract. Exp., 2021

Certainty in QRS detection with artificial neural networks.
Biomed. Signal Process. Control., 2021

Towards a Staging Environment for the Internet of Things.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Implicit model specialization through dag-based decentralized federated learning.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Continuously Testing Distributed IoT Systems: An Overview of the State of the Art.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
Tangle Ledger for Decentralized Learning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
Hatebefi: Hybrid Applications Testbed for Fault Injection.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

Performance of Real-TimeWireless Communication for Railway Environments with IEEE 802.11p.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2017
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

2015
Claud: Coordination, Locality And Universal Distribution.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015


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