Jakub Krzywda
Jakub Krzywda
Visiting Researcher at Department of Computing Science, Umeå University
Verified email at cs.umu.se - Homepage
Cited by
Cited by
Power-performance tradeoffs in data center servers: DVFS, CPU pinning, horizontal, and vertical scaling
J Krzywda, A Ali-Eldin, TE Carlson, PO Östberg, E Elmroth
Future Generation Computer Systems 81, 114-128, 2018
The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation
PO Östberg, H Groenda, S Wesner, J Byrne, D Nikolopoulos, C Sheridan, ...
The 6th IEEE International Conference on Cloud Computing Technology and …, 2014
ALPACA: Application performance aware server power capping
J Krzywda, A Ali-Eldin, E Wadbro, PO Östberg, E Elmroth
2018 IEEE International Conference on Autonomic Computing (ICAC), 41-50, 2018
Power-aware cloud brownout: Response time and power consumption control
AV Papadopoulos, J Krzywda, E Elmroth, M Maggio
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2686-2691, 2017
A Sensor-Actuator Model for Data Center Optimization
J Krzywda, PO Östberg, E Elmroth
2015 International Conference on Cloud and Autonomic Computing (ICCAC), 192-195, 2015
Telco Clouds: Modelling and Simulation
J Krzywda, W Tärneberg, PO Östberg, M Kihl, E Elmroth
Proceedings of the 5th International Conference on Cloud Computing and …, 2015
Modeling and simulation of QoS-aware power budgeting in cloud data centers
J Krzywda, V Meyer, MG Xavier, A Ali-Eldin, PO Östberg, CAF De Rose, ...
2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020
Power shepherd: Application performance aware power shifting
J Krzywda, A Ali-Eldin, E Wadbro, PO Östberg, E Elmroth
2019 IEEE International Conference on Cloud Computing Technology and Science …, 2019
Rapid Testing of IaaS Resource Management Algorithms via Cloud Middleware Simulation
C Stier, J Domaschka, A Koziolek, S Krach, J Krzywda, R Reussner
Proceedings of the 2018 ACM/SPEC International Conference on Performance …, 2018
May the power be with you: managing power-performance tradeoffs in cloud data centers
J Krzywda
Umeå University, 2019
Predictive cloud application model: project deliverable D3. 2
A Ali-Eldin, PO Östberg, J Krzywda, C Hauser, J Domaschka, H Groenda
Universität Ulm, 2017
Calculating indices for urban sprawl
J Krzywda, P Sturm
INRIA, 2013
CactoSim simulation framework final prototype: accompanying document for project deliverable D6. 4
GG Castañé, S Svorobej, J Byrne, C Stier, S Krach, J Krzywda, C Hauser, ...
Universität Ulm, 2017
Model integration method and supporting tooling: project deliverable D5. 1
H Groenda, C Stier, J Krzywda, J Byrne, S Svorobej, Z Papazachos, ...
Universität Ulm, 2017
Evaluation methodology for the CACTOS runtime and prediction toolkits: project deliverable D5. 4
C Stier, H Groenda, D Whigham, S Bharbuiya, Z Papazachos, C Hauser, ...
Universität Ulm, 2017
CactoSim simulation framework initial prototype: project deliverable D6. 1
S Svorobej, J Byrne, PJ Byrne, H Groenda, C Stier, J Domaschka, ...
Universität Ulm, 2017
Preliminary results from optimisation models validation and experimentation: project deliverable D6. 2
S Svorobej, J Byrne, GG Castañé, J Krzywda, H Groenda, C Stier, ...
Universität Ulm, 2017
CACTOS toolkit version 2: accompanying document for prototype deliverable D5. 2.2
H Groenda, C Stier, J Krzywda, J Byrne, S Svorobej, GG Castañé, ...
Universität Ulm, 2017
Validation and result analysis: project deliverable D7. 4.2, revision 3
C Sheridan, D Whigham, C Stewart, J Domaschka, A Tsitsipas, C Hauser, ...
Universität Ulm, 2017
Prototype optimisation model: project deliverable D3. 1
J Krzywda, A Ali-Eldin, PO Östberg, H Groenda, C Stier
Universität Ulm, 2017
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