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2020 – today
- 2022
[b1]Tommi Berner:
Modeling and Control for Improved Predictability of Cloud Applications. Lund University, Sweden, 2022- [j2]Johan Ruuskanen, Tommi Berner, Karl-Erik Årzén, Anton Cervin:
Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing. SIGMETRICS Perform. Evaluation Rev. 49(3): 69-70 (2022) - 2021
- [j1]Johan Ruuskanen
, Tommi Berner, Karl-Erik Årzén, Anton Cervin:
Improving the mean-field fluid model of processor sharing queueing networks for dynamic performance models in cloud computing. Perform. Evaluation 151: 102231 (2021) - 2020
- [c4]Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio:
Towards Performance Modeling of Speculative Execution for Cloud Applications. ICPE Companion 2020: 17-19 - [c3]Tommi Nylander, Johan Ruuskanen, Karl-Erik Årzén, Martina Maggio:
Modeling of Request Cloning in Cloud Server Systems using Processor Sharing. ICPE 2020: 24-35
2010 – 2019
- 2018
- [c2]Tommi Nylander, Cristian Klein, Karl-Erik Årzén, Martina Maggio:
BrownoutCC: Cascaded Control for Bounding the Response Times of Cloud Applications. ACC 2018: 3354-3361 - [c1]Tommi Nylander, Marcus Thelander Andrén, Karl-Erik Årzén, Martina Maggio:
Cloud Application Predictability through Integrated Load-Balancing and Service Time Control. ICAC 2018: 51-60
Coauthor Index
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