Publikationer

Senaste publikationer

Reinforced model selection for resource efficient anomaly detection in edge clouds

Future Generation Computer Systems, Elsevier 2026, Vol. 176

Forough, Javad; Bhuyan, Monowar; Elmroth, Erik

Pioneering eco-efficiency in cloud computing: a carbon-conscious reinforcement learning approach to federated learning

IEEE Internet of Things Journal, IEEE 2025, Vol. 12, (7) : 8958-8979

Seo, Eunil; Elmroth, Erik

A training rate and survival heuristic for inference and robustness evaluation (Trashfire)

Proceedings of 2024 International Conference on Machine Learning and Cybernetics, IEEE 2025 : 613-623

Meyers, Charles; Saleh Sedghpour, Mohammad Reza; Löfstedt, Tommy; et al.

Tiny machine learning models for autonomous workload distribution across cloud-edge computing continuum

Cluster Computing, Springer Nature 2025, Vol. 28, (6)

Pour-Hosseini, Mohammad R.; Abbasi, Mahdi; Salimi, Atefeh; et al.

tinyKube: a middleware for dynamic resource management in cloud-edge platforms for large-scale cloud robotics

The 38th IEEE/IFIP Network Operations and Management Symposium (NOMS)

Nguyen, Chanh Le Tan; Seo, Eunil; Zahid, Muhammad; et al.

Taming cold starts: proactive serverless scheduling with model predictive control

MASCOTS 2025: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System, Paris, France, October 21-23, 2025

Nguyen, Chanh; Bhuyan, Monowar; Elmroth, Erik

Resource management for mission-critical applications in edge computing: systematic review on recent research and open issues

ACM Computing Surveys, ACM Digital Library 2025, Vol. 58, (3)

Rasouli, Nayereh; Klein, Cristian; Elmroth, Erik

Silent failures in stateless systems: rethinking anomaly detection for serverless computing

2025 IEEE international conference on service-oriented system engineering (SOSE), IEEE 2025 : 8-19

Nguyen, Chanh Le Tan; Elmroth, Erik; Bhuyan, Monowar

ESTHER: application-first hardware-level QoS-enforcement for cloud native environments

2025 IEEE 18th International Conference on Cloud Computing (CLOUD), IEEE 2025 : 75-85

Larsson, Oliver; Metsch, Thijs; Klein, Cristian; et al.

Efficient anomaly detection for edge clouds: mitigating data and resource constraints

Forough, Javad; Haddadi, Hamed; Bhuyan, Monowar H.; et al.

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Senast uppdaterad: 2019-11-26