Optimal composition of real-time systems
Artificial Intelligence
Signals & systems (2nd ed.)
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
Feedback–Feedforward Scheduling of Control Tasks
Real-Time Systems
Adaptive Workload Management through Elastic Scheduling
Real-Time Systems
APPROXIMATE: A Query Processor that Produces Monotonically Improving Approximate Answers
IEEE Transactions on Knowledge and Data Engineering
A Dynamic Quality of Service Middleware Agent for Mediating Application Resource Usage
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Queueing Model Based Network Server Performance Control
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
Differentiated Caching Services; A Control-Theoretical Approach
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Feedback Control of Computing Systems
Feedback Control of Computing Systems
Feedback EDF Scheduling Exploiting Dynamic Voltage Scaling
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Specification and Management of QoS in Real-Time Databases Supporting Imprecise Computations
IEEE Transactions on Computers
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In the control of continuous and physical systems, the controlled system is sampled sufficiently fast to capture the dynamics of the system. In general, this property cannot be applied to the control of computer systems as the measured variables are often computed over a data set, e.g., deadline miss ratio. In this paper we quantify the disturbance present in the measured variable as a function of the data set size and the sampling period, and we propose a feedback control structure that suppresses the measurement disturbance. The experiments we have carried out show that a controller using the proposed control structure outperforms a traditional control structure with regard to performance reliability.