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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

Efficient online application placement strategies in mobile edge clouds

Cloud Computing and Services Science: 14th International Conference, CLOSER 2024, Revised Selected Papers, Springer Science+Business Media B.V. 2026 : 98-123

Nguyen, Chanh Le Tan; Klein, Cristian; Elmroth, Erik

Towards effective QoS-aware model selection for DNN inference in edge intelligence

IEEE Transactions on Cloud Computing

Siar, Hajar; Nguyen, Chanh Le Tan; Seo, Eunil; et al.

Artifact appendix for loglearners: identifying compromised AI functions in serverless systems

Proceedings: 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2026, Institute of Electrical and Electronics Engineers (IEEE) 2026 : 87-88

Bhutto, Adil Bin; Elmroth, Erik; Bhuyan, Monowar

Trust-aware routing for distributed generative AI inference at the edge

2026 22nd International conference on distributed computing in smart systems and the internet of things (DCOSS-IoT) : 228-237

Nguyen, Chanh Le Tan; Elmroth, Erik

Loglearners: identifying compromised AI functions in serverless systems

Proceedings: 2026 IEEE 26th International Symposium on Cluster, Cloud and Internet Computing CCGrid 2026, Institute of Electrical and Electronics Engineers (IEEE) 2026 : 665-674

Bhutto, Adil Bin; Elmroth, Erik; Bhuyan, Monowar

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.

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Senast uppdaterad: 2019-11-26