Johan Ruuskanen

According to our database, Johan Ruuskanen authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Dynamical Modeling of Cloud Applications for Runtime Performance Management.

Johan Ruuskanen

PhD thesis, 2022

Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing.

Johan Ruuskanen, Tommi Berner, Karl-Erik Årzén, Anton Cervin

SIGMETRICS Perform. Evaluation Rev., 2022

Improved event-based particle filtering in resource-constrained remote state estimation.

Johan Ruuskanen, Anton Cervin

CoRR, 2022

Automatic Differentiation over Fluid Models for Holistic Load Balancing.

Albin Heimerson, Johan Ruuskanen, Johan Eker

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022

Distributed online extraction of a fluid model for microservice applications using local tracing data.

Johan Ruuskanen, Anton Cervin

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021

FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack.

Johan Ruuskanen, Haorui Peng, Alfred Åkesson, Lars Larsson, Maria Kihl

CoRR, 2021

2020

Towards Performance Modeling of Speculative Execution for Cloud Applications.

Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio

Proceedings of the Companion of the 2020 ACM/SPEC International Conference on Performance Engineering, 2020

Modeling of Request Cloning in Cloud Server Systems using Processor Sharing.

Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

On Innovation-Based Triggering for Event-Based Nonlinear State Estimation Using the Particle Filter.

Johan Ruuskanen, Anton Cervin

Proceedings of the 18th European Control Conference, 2020

2019

Latency prediction in 5G for control with deadtime compensation.

Johan Ruuskanen, Haorui Peng, Alexandre Martins

Proceedings of the Workshop on Fog Computing and the IoT, 2019

Event-Based State Estimation Using the Auxiliary Particle Filter.

Johan Ruuskanen, Anton Cervin

Proceedings of the 17th European Control Conference, 2019