Publications

Latest publications

ASA - The Adaptive Scheduling Architecture

HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, ACM Digital Library 2020 : 161-165

Souza, Abel; Pelckmans, Kristiaan; Ghoshal, Devarshi; et al.

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning

Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Springer 2020 : 268-280

Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Taenaka, Yuzo; et al.

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE conference proceedings 2020 : 88-93

Krzywda, Jakub; Meyer, Vinicius; Xavier, Miguel G.; et al.

Impact of etcd deployment on Kubernetes, Istio, and application performance

Software, practice & experience, John Wiley & Sons 2020, Vol. 50, (10) : 1986-2007

Larsson, Lars; Tarneberg, William; Klein, Cristian; et al.

Elasticity Control for Latency-IntolerantMobile Edge Applications

The Fifth ACM/IEEE Symposium on Edge Computing, Virtual, November 11-13, 2020 : 70-83

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

Security-Performance Trade-offs of Kubernetes Container Runtimes

MASCOTS 2020: 2020 IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer andTelecommunication System : 1-4

Viktorsson, William; Klein, Cristian; Tordsson, Johan

Multi-Diseases Classification From Chest-X-Ray: A Federated Deep Learning Approach

AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings, Springer 2020 : 3-15

Banerjee, Sourasekhar; Misra, Rajiv; Prasad, Mukesh; et al.

MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems

2020 IEEE/ACM 13TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC 2020), IEEE 2020 : 227-236

Wu, Li; Tordsson, Johan; Acker, Alexander; et al.

Boosted Ensemble Learning for Anomaly Detection in 5G RAN

Artificial Intelligence Applications and Innovations, AIAI 2020, Springer 2020 : 15-30

Sundqvist, Tobias; Bhuyan, Monowar H.; Forsman, Johan; et al.

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing: A Survey

ACM Computing Surveys, Association for Computing Machinery (ACM) 2019, Vol. 52, (5)

Le Duc, Thang; García Leiva, Rafael; Casari, Paolo; et al.

See more publications.