Chanh Nguyen

Orcid: 0000-0002-9156-3364

Affiliations:
  • Umeå University, Department of Computing Science, Sweden
  • Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA


According to our database1, Chanh Nguyen authored at least 17 papers between 2017 and 2025.

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

2025
Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control.
CoRR, August, 2025

Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges.
CoRR, July, 2025

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing.
CoRR, July, 2025

LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics.
CoRR, May, 2025

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2025

tinyKube: A Middleware for Dynamic Resource Management in Cloud-Edge Platforms for Large-Scale Cloud Robotics.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

2024
CloudResilienceML: Ensuring Robustness of Machine Learning Models in Dynamic Cloud Systems.
Proceedings of the 17th IEEE/ACM International Conference on Utility and Cloud Computing, 2024

Enhancing Machine Learning Performance in Dynamic Cloud Environments with Auto-Adaptive Models.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2024

State-Aware Application Placement in Mobile Edge Clouds.
Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024

2023
Does Wearable Cognitive Assistance Require Edge Computing?
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

Optimizing User Experience in Wearable Cognitive Assistance through Model Specialization.
Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications, 2023

Offload Shaping for Wearable Cognitive Assistance.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2021
Location-aware resource allocation in mobile edge clouds.
PhD thesis, 2021

2020
Elasticity Control for Latency-Intolerant Mobile Edge Applications.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
Why cloud applications are not ready for the edge (yet).
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2017
Location-aware load prediction in Edge Data Centers.
Proceedings of the Second International Conference on Fog and Mobile Edge Computing, 2017


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