Event-Based Control and Estimation of Server Systems
(2018) 4th International Conference on Event-Based Control, Communication and Signal Processing- Abstract
- Feedback control is increasingly being applied in server systems to make them more robust and efficient. This includes managing quality of service, minimizing power consumption, and adapting to varying workloads. Successful adaptation and control in turn relies on accurate tracking of workload variations and timely detection of changes in the computing infrastructure. Given that server systems are inherently event based, it is natural to consider event-based control and estimation schemes for them. As a prototypical problem, we study a single server system with time-varying arrival rate and derive optimal switching rules for the service rate. The goal is to keep the response time within bounds while minimizing the energy consumption of the... (More)
- Feedback control is increasingly being applied in server systems to make them more robust and efficient. This includes managing quality of service, minimizing power consumption, and adapting to varying workloads. Successful adaptation and control in turn relies on accurate tracking of workload variations and timely detection of changes in the computing infrastructure. Given that server systems are inherently event based, it is natural to consider event-based control and estimation schemes for them. As a prototypical problem, we study a single server system with time-varying arrival rate and derive optimal switching rules for the service rate. The goal is to keep the response time within bounds while minimizing the energy consumption of the server. We also design an event-based estimator of the server states using a particle filter approach. Finally, we outline some research challenges related to event-based control and information fusion in server systems. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c88bca1c-8690-48c2-af61-d891a4c76931
- author
- Cervin, Anton LU
- organization
- publishing date
- 2018-06-27
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 4th International Conference on Event-Based Control, Communication, and Signal Processing, EBCCSP 2018
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 4th International Conference on Event-Based Control, Communication and Signal Processing
- conference location
- Perpignan, France
- conference dates
- 2018-06-27 - 2018-06-29
- project
- Event-Based Information Fusion for the Self-Adaptive Cloud
- Event-Based Control of Stochastic Systems with Application to Server Systems
- Event-Based Estimation and Control
- language
- English
- LU publication?
- yes
- id
- c88bca1c-8690-48c2-af61-d891a4c76931
- date added to LUP
- 2018-06-04 11:14:13
- date last changed
- 2023-06-28 15:13:51
@inproceedings{c88bca1c-8690-48c2-af61-d891a4c76931, abstract = {{Feedback control is increasingly being applied in server systems to make them more robust and efficient. This includes managing quality of service, minimizing power consumption, and adapting to varying workloads. Successful adaptation and control in turn relies on accurate tracking of workload variations and timely detection of changes in the computing infrastructure. Given that server systems are inherently event based, it is natural to consider event-based control and estimation schemes for them. As a prototypical problem, we study a single server system with time-varying arrival rate and derive optimal switching rules for the service rate. The goal is to keep the response time within bounds while minimizing the energy consumption of the server. We also design an event-based estimator of the server states using a particle filter approach. Finally, we outline some research challenges related to event-based control and information fusion in server systems.}}, author = {{Cervin, Anton}}, booktitle = {{Proceedings of the 4th International Conference on Event-Based Control, Communication, and Signal Processing, EBCCSP 2018}}, language = {{eng}}, month = {{06}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Event-Based Control and Estimation of Server Systems}}, url = {{https://lup.lub.lu.se/search/files/45269354/paper.pdf}}, year = {{2018}}, }