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Karl-Erik Årzén
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Journal Articles
- 2022
- [j22]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
- [j21]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
- [j20]Tarek F. Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra
, Per Skarin
, Shuochao Yao, Dulanga Weerakoon, Karl-Erik Årzén:
Five Challenges in Cloud-enabled Intelligence and Control. ACM Trans. Internet Techn. 20(1): 3:1-3:19 (2020) - 2018
- [j19]Amir Aminifar
, Petru Eles
, Zebo Peng
, Anton Cervin
, Karl-Erik Årzén
:
Control-Quality-Driven Design of Embedded Control Systems with Stability Guarantees. IEEE Des. Test 35(4): 38-46 (2018) - [j18]Morteza Mohaqeqi
, Mitra Nasri
, Yang Xu, Anton Cervin
, Karl-Erik Årzén:
Optimal harmonic period assignment: complexity results and approximation algorithms. Real Time Syst. 54(4): 830-860 (2018) - [j17]Gautham Nayak Seetanadi, Luis Oliveira, Luís Almeida, Karl-Erik Årzén, Martina Maggio:
Game-theoretic network bandwidth distribution for self-adaptive cameras. SIGBED Rev. 15(3): 31-36 (2018) - 2016
- [j16]Georgios C. Chasparis
, Martina Maggio
, Enrico Bini
, Karl-Erik Årzén:
Design and implementation of distributed resource management for time-sensitive applications. Autom. 64: 44-53 (2016) - [j15]Alessandro Vittorio Papadopoulos
, Ahmed Ali-Eldin, Karl-Erik Årzén, Johan Tordsson, Erik Elmroth:
PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(4): 15:1-15:31 (2016) - 2014
- [j14]Karl Berntorp, Anders Robertsson, Karl-Erik Årzén:
Rao-Blackwellized Particle Filters With Out-of-Sequence Measurement Processing. IEEE Trans. Signal Process. 62(24): 6454-6467 (2014) - 2013
- [j13]Karl-Erik Årzén:
Preface to special issue on adaptive embedded systems. Real Time Syst. 49(3): 337-338 (2013) - 2011
- [j12]Enrico Bini
, Giorgio C. Buttazzo, Johan Eker, Stefan Schorr, Raphael Guerra, Gerhard Fohler
, Karl-Erik Årzén, Vanessa Romero, Claudio Scordino
:
Resource Management on Multicore Systems: The ACTORS Approach. IEEE Micro 31(3): 72-81 (2011) - 2010
- [j11]Johan Åkesson, Karl-Erik Årzén, Magnus Gäfvert, Tove Bergdahl, Hubertus Tummescheit:
Modeling and optimization with Optimica and JModelica.org - Languages and tools for solving large-scale dynamic optimization problems. Comput. Chem. Eng. 34(11): 1737-1749 (2010) - [j10]Gonzalo Farias, Anton Cervin
, Karl-Erik Årzén, Sebastián Dormido
, Francisco Esquembre:
Java Simulations of Embedded Control Systems. Sensors 10(9): 8585-8603 (2010) - 2007
- [j9]Karl-Erik Årzén, Antonio Bicchi, Gianluca Dini
, Stephen Hailes, Karl Henrik Johansson
, John Lygeros, Anthony Tzes
:
A Component-Based Approach to the Design of Networked Control Systems. Eur. J. Control 13(2-3): 261-279 (2007) - 2006
- [j8]Karl-Erik Årzén, Anders Robertsson, Dan Henriksson, Mikael Johansson, Håkan Hjalmarsson, Karl Henrik Johansson
:
Conclusions of the ARTIST2 roadmap on control of computing systems. SIGBED Rev. 3(3): 11-20 (2006) - 2004
- [j7]Lui Sha, Tarek F. Abdelzaher, Karl-Erik Årzén, Anton Cervin
, Theodore P. Baker, Alan Burns, Giorgio C. Buttazzo, Marco Caccamo, John P. Lehoczky, Aloysius K. Mok:
Real Time Scheduling Theory: A Historical Perspective. Real Time Syst. 28(2-3): 101-155 (2004) - 2002
- [j6]Anton Cervin
, Johan Eker, Bo Bernhardsson, Karl-Erik Årzén:
Feedback-Feedforward Scheduling of Control Tasks. Real Time Syst. 23(1-2): 25-53 (2002) - 2000
- [j5]Jonathan S. Ostroff, H. Alla, Karl-Erik Årzén, Janan Zaytoon:
Discussion on: 'A Contribution to the Validation of Grafcet Controlled Systems' by J. Zaytoon. Eur. J. Control 6(6): 507-510 (2000) - 1999
- [j4]Mikael Johansson, Anders Rantzer, Karl-Erik Årzén:
Piecewise quadratic stability of fuzzy systems. IEEE Trans. Fuzzy Syst. 7(6): 713-722 (1999) - 1994
- [j3]Karl-Erik Årzén:
Grafcet for intelligent supervisory control applications. Autom. 30(10): 1513-1525 (1994) - 1989
- [j2]Karl-Erik Årzén:
An architecture for expert system based feedback control. Autom. 25(6): 813-827 (1989) - 1986
- [j1]Karl Johan Åström, John J. Anton, Karl-Erik Årzén:
Expert control. Autom. 22(3): 277-286 (1986)
Conference and Workshop Papers
- 2022
- [c43]William Tärneberg, Emma Fitzgerald, Monowar H. Bhuyan, Paul Townend, Karl-Erik Årzén, Per-Olov Östberg, Erik Elmroth, Johan Eker, Fredrik Tufvesson, Maria Kihl:
The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges. 6GNet 2022: 1-5 - [c42]Alexandre Martins, Hung-Yu Wei, Karl-Erik Årzén:
Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination. SENSORNETS 2022: 34-44 - [c41]Albin Heimerson, Johan Eker, Karl-Erik Årzén:
A Proactive Cloud Application Auto-Scaler using Reinforcement Learning. UCC 2022: 213-220 - 2021
- [c40]Alexandre Martins, Karl-Erik Årzén:
Dynamic Management of Multiple Resources in Camera Surveillance Systems. ACC 2021: 2061-2068 - [c39]Per Skarin
, Karl-Erik Årzén:
Explicit MPC Recovery for Cloud Control Systems. CDC 2021: 5394-5401 - 2020
- [c38]Per Skarin, Johan Eker, Karl-Erik Årzén:
A Cloud-Enabled Rate-Switching MPC Architecture. CDC 2020: 3151-3158 - [c37]Gautham Nayak Seetanadi
, Karl-Erik Årzén:
Routing Using Safe Reinforcement Learning. Fog-IoT 2020: 6:1-6:8 - [c36]Gautham Nayak Seetanadi, Karl-Erik Årzén, Martina Maggio:
Adaptive Routing with Guaranteed Delay Bounds using Safe Reinforcement Learning. RTNS 2020: 149-160 - [c35]Per Skarin, William Tärneberg, Karl-Erik Årzén, Maria Kihl:
Control-over-the-cloud: A performance study for cloud-native, critical control systems. UCC 2020: 57-66 - [c34]Tommi Nylander
, Johan Ruuskanen
, Karl-Erik Årzén, Martina Maggio:
Towards Performance Modeling of Speculative Execution for Cloud Applications. ICPE Companion 2020: 17-19 - [c33]Tommi Nylander
, Johan Ruuskanen
, Karl-Erik Årzén, Martina Maggio:
Modeling of Request Cloning in Cloud Server Systems using Processor Sharing. ICPE 2020: 24-35 - 2019
- [c32]Per Skarin
, Johan Eker, Maria Kihl, Karl-Erik Årzén:
Cloud-Assisted Model Predictive Control. EDGE 2019: 110-112 - [c31]Gautham Nayak Seetanadi, Karl-Erik Årzén, Martina Maggio:
Model Checking a Self-Adaptive Camera Network with Physical Disturbances. ICAC 2019: 95-104 - 2018
- [c30]Yang Xu, Anton Cervin
, Karl-Erik Årzén:
Jitter-Robust LQG Control and Real-Time Scheduling Co-Design. ACC 2018: 3189-3196 - [c29]Tommi Nylander
, Cristian Klein, Karl-Erik Årzén, Martina Maggio:
BrownoutCC: Cascaded Control for Bounding the Response Times of Cloud Applications. ACC 2018: 3354-3361 - [c28]Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, Martina Maggio
:
Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time. ECRTS 2018: 17:1-17:22 - [c27]Per Skarin
, William Tärneberg
, Karl-Erik Årzén, Maria Kihl:
Towards Mission-Critical Control at the Edge and Over 5G. EDGE 2018: 50-57 - [c26]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 - 2017
- [c25]Gautham Nayak Seetanadi, Javier Cámara, Luís Almeida
, Karl-Erik Årzén, Martina Maggio:
Event-Driven Bandwidth Allocation with Formal Guarantees for Camera Networks. RTSS 2017: 243-254 - 2016
- [c24]Yang Xu, Anton Cervin
, Karl-Erik Årzén:
Harmonic Scheduling and Control Co-design. RTCSA 2016: 182-187 - [c23]Morteza Mohaqeqi, Mitra Nasri
, Yang Xu, Anton Cervin
, Karl-Erik Årzén:
On the Problem of Finding Optimal Harmonic Periods. RTNS 2016: 171-180 - 2015
- [c22]Yang Xu, Karl-Erik Årzén, Anton Cervin
, Enrico Bini
, Bogdan Tanasa:
Exploiting Job Response-Time Information in the Co-Design of Real-Time Control Systems. RTCSA 2015: 247-256 - 2014
- [c21]Jonas Durango, Manfred Dellkrantz, Martina Maggio
, Cristian Klein, Alessandro Vittorio Papadopoulos
, Francisco Hernández-Rodriguez, Erik Elmroth, Karl-Erik Årzén:
Control-theoretical load-balancing for cloud applications with brownout. CDC 2014: 5320-5327 - [c20]Cristian Klein, Martina Maggio
, Karl-Erik Årzén, Francisco Hernández-Rodriguez:
Brownout: building more robust cloud applications. ICSE 2014: 700-711 - [c19]Cristian Klein, Alessandro Vittorio Papadopoulos
, Manfred Dellkrantz, Jonas Durango, Martina Maggio
, Karl-Erik Årzén, Francisco Hernández-Rodriguez, Erik Elmroth:
Improving Cloud Service Resilience Using Brownout-Aware Load-Balancing. SRDS 2014: 31-40 - 2013
- [c18]Georgios C. Chasparis
, Martina Maggio
, Karl-Erik Årzén, Enrico Bini:
Distributed management of CPU resources for time-sensitive applications. ACC 2013: 5305-5312 - [c17]Cristian Klein, Martina Maggio, Karl-Erik Årzén, Francisco Hernández-Rodriguez:
Introducing service-level awareness in the cloud. SoCC 2013: 29:1-29:2 - [c16]Martina Maggio
, Enrico Bini
, Georgios C. Chasparis
, Karl-Erik Årzén:
A Game-Theoretic Resource Manager for RT Applications. ECRTS 2013: 57-66 - [c15]Maria Kihl, Erik Elmroth, Johan Tordsson, Karl-Erik Årzén, Anders Robertsson:
The Challenge of Cloud Control. Feedback Computing 2013 - [c14]Karl Berntorp, Anders Robertsson, Karl-Erik Årzén:
Rao-blackwellized out-of-sequence processing for mixed linear/nonlinear state-space models. FUSION 2013: 805-812 - [c13]Cristian Klein, Martina Maggio, Karl-Erik Årzén, Francisco Hernández-Rodriguez:
Resource Management for Service Level Aware Cloud Applications. REACTION 2013 - [c12]Eduardo Tovar
, Richard Zurawski, Roberto Passerone
, Karl-Erik Årzén, Arvind Easwaran
, Luca Santinelli:
Welcome message. SIES 2013 - 2012
- [c11]Karl Berntorp, Karl-Erik Årzén, Anders Robertsson:
Mobile manipulation with a kinematically redundant manipulator for a pick-and-place scenario. CCA 2012: 1596-1602 - [c10]Karl Berntorp, Karl-Erik Årzén, Anders Robertsson:
Storage efficient particle filters with multiple out-of-sequence measurements. FUSION 2012: 471-478 - 2010
- [c9]Mikael Lindberg, Karl-Erik Årzén:
Feedback Control of Cyber-physical Systems with Multi Resource Dependencies and Model Uncertainties. RTSS 2010: 85-94 - 2009
- [c8]Ángel Cuenca, Pedro García
, Karl-Erik Årzén, Pedro Albertos:
A predictor-observer for a Networked Control System with time-varying delays and non-uniform sampling. ECC 2009: 946-951 - 2006
- [c7]Dan Henriksson, Anton Cervin, Martin Andersson, Karl-Erik Årzén:
Truetime: simulation of Networked Computer control Systems. ADHS 2006: 272-273 - 2005
- [c6]Martin Andersson, Dan Henriksson, Anton Cervin
, Karl-Erik Årzén:
Simulation of Wireless Networked Control Systems. CDC/ECC 2005: 476-481 - [c5]Karl-Erik Årzén:
Timing Analysis and Simulation Tools for Real-Time Control. FORMATS 2005: 142-143 - 2002
- [c4]Dan Henriksson, Anton Cervin, Johan Åkesson, Karl-Erik Årzén:
On dynamic real-time scheduling of model predictive controllers. CDC 2002: 1325-1330 - [c3]Dan Henriksson, Anton Cervin
, Johan Åkesson, Karl-Erik Årzén:
Feedback Scheduling of Model Predictive Controllers. IEEE Real Time Technology and Applications Symposium 2002: 207-216 - 2001
- [c2]Mikael Petersson, Karl-Erik Årzén, Tore Hägglund:
Assessing measurements for feedforward control. ECC 2001: 432-437 - 2000
- [c1]Karl-Erik Årzén, Anton Cervin
, Johan Eker, Lui Sha:
An introduction to control and scheduling co-design. CDC 2000: 4865-4870
Parts in Books or Collections
- 2005
- [p1]Karl-Erik Årzén, Anton Cervin, Dan Henriksson:
Implementation-Aware Embedded Control Systems. Handbook of Networked and Embedded Control Systems 2005: 377-394
Editorship
- 2019
- [e2]Paul Pop, Karl-Erik Årzén:
Proceedings of the Workshop on Fog Computing and the IoT, IoT-Fog@IoTDI 2019, Montreal, QC, Canada, April 15, 2019. ACM 2019, ISBN 978-1-4503-6698-4 [contents] - 2011
- [e1]Karl-Erik Årzén:
23rd Euromicro Conference on Real-Time Systems, ECRTS 2011, Porto, Portugal, 5-8 July, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4442-7 [contents]
Informal and Other Publications
- 2023
- [i4]William Tärneberg, Per Skarin, Karl-Erik Årzén, Maria Kihl:
Resilient Cloud Control System: Realizing resilient cloud-based optimal control for cyber-physical systems. CoRR abs/2304.00857 (2023) - 2019
- [i3]Per Skarin, Johan Eker, Maria Kihl, Karl-Erik Årzén:
An assisting Model Predictive Controller approach to Control over the Cloud. CoRR abs/1905.06305 (2019) - 2018
- [i2]Per Skarin, William Tärneberg, Karl-Erik Årzén, Maria Kihl:
Towards Mission-Critical Control at the Edge and Over 5G. CoRR abs/1803.02123 (2018) - 2015
- [i1]Georgios C. Chasparis, Martina Maggio, Enrico Bini, Karl-Erik Årzén:
Design and Implementation of Distributed Resource Management for Time Sensitive Applications. CoRR abs/1508.04544 (2015)
Coauthor Index
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