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- 2022
-
Mark
Modeling and Control for Improved Predictability of Cloud Applications
Berner, Tommi LU
(2022)
- Thesis › Doctoral thesis (compilation)
- 2021
-
Mark
Improving the Mean-Field Fluid Model of Processor Sharing Queueing Networks for Dynamic Performance Models in Cloud Computing
Ruuskanen, Johan LU
; Berner, Tommi
LU
; Årzén, Karl-Erik
LU
and Cervin, Anton
LU
(2021)
In Performance Evaluation
151.
- Contribution to journal › Article
- 2020
-
Mark
Modeling of Request Cloning in Cloud Server Systems using Processor Sharing
Nylander, Tommi LU
; Ruuskanen, Johan
LU
; Årzén, Karl-Erik
LU
and Maggio, Martina
LU
(2020)
11th ACM/SPEC International Conference on Performance Engineering
p.24-35
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Towards Performance Modeling of Speculative Execution for Cloud Applications
Nylander, Tommi LU
; Ruuskanen, Johan
LU
; Årzén, Karl-Erik
LU
and Maggio, Martina
LU
(2020)
3rd Workshop on Hot Topics in Cloud Computing Performance
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Cloud Application Predictability through Integrated Load-Balancing and Service Time Control
Nylander, Tommi LU
; Thelander Andrén, Marcus
LU
; Årzén, Karl-Erik
LU
and Maggio, Martina
LU
(2018)
15th IEEE International Conference on Autonomic Computing
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
BrownoutCC: Cascaded Control for Bounding the Response Times of Cloud Applications
Nylander, Tommi LU
; Klein, Cristian
; Årzén, Karl-Erik
LU
and Maggio, Martina
LU
(2018)
American Control Conference 2018
2018-June.
p.3354-3361
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding