Johan Ruuskanen

13 papers B 2Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Demonstrating a Cloud-Native applications Simulator for Real-Time Fault-Tolerant Clouds.
ICPE Companion
Luca Abeni, Harald Gustafsson, Fredrik Svensson, Johan Ruuskanen, Tommaso Cucinotta
2022 — conf
Automatic Differentiation over Fluid Models for Holistic Load Balancing.
ACSOS-C
Albin Heimerson, Johan Ruuskanen, Johan Eker
2022 B conf
Distributed online extraction of a fluid model for microservice applications using local tracing data.
CLOUD
Johan Ruuskanen, Anton Cervin
2022 — —
Dynamical Modeling of Cloud Applications for Runtime Performance Management.
Johan Ruuskanen
2022 J jnl
Improved event-based particle filtering in resource-constrained remote state estimation.
CoRR
Johan Ruuskanen, Anton Cervin
2022 J jnl
Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing.
SIGMETRICS Perform. Evaluation Rev.
Johan Ruuskanen, Tommi Berner, Karl-Erik Årzén, Anton Cervin
2021 J jnl
FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack.
CoRR
Johan Ruuskanen, Haorui Peng, Alfred Åkesson, Lars Larsson, Maria Kihl
2021 J jnl
Improving the mean-field fluid model of processor sharing queueing networks for dynamic performance models in cloud computing.
Perform. Evaluation
Johan Ruuskanen, Tommi Berner, Karl-Erik Årzén, Anton Cervin
2020 B conf
Modeling of Request Cloning in Cloud Server Systems using Processor Sharing.
ICPE
Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio
2020 — conf
On Innovation-Based Triggering for Event-Based Nonlinear State Estimation Using the Particle Filter.
ECC
Johan Ruuskanen, Anton Cervin
2020 — conf
Towards Performance Modeling of Speculative Execution for Cloud Applications.
ICPE Companion
Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio
2019 — conf
Event-Based State Estimation Using the Auxiliary Particle Filter.
ECC
Johan Ruuskanen, Anton Cervin
2019 — conf
Latency prediction in 5G for control with deadtime compensation.
IoT-Fog@IoTDI
Johan Ruuskanen, Haorui Peng, Alexandre Martins