Optimizing QoS in Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency

Camponogara, Eduardo; Lima, George; Mossé, Daniel; Nassiffe, Ríad

doi:10.1109/sbesc.2013.9

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Most of the papers consider QoS in combination with sRT systems, for example [5,14]. As sRT systems do not constrain deadline misses, QoS is used as a measure of "profit" that is realized by meeting deadlines.…”

Section: Quality Of Servicementioning

confidence: 99%

Dynamic Constraints for Mixed-Criticality Systems

Juhász

Jantsch

2019

Proceedings of the International Conference on Omni-Layer Intelligent Systems

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We define quality of service requirements for mixed-criticality systems based on min-plus algebra rather than discrete criticality levels. The requirements (1) unify a spectrum of weakly-hard real-time requirements with strongly-hard real-time and soft real-time as extreme cases and (2) support dynamic tuning of task importance. The paper elaborates the relation to mixed-criticality scheduling theory and weakly-hard real-time systems. The supported timing requirements, computational complexity, and scheduling feasibility are discussed. CCS CONCEPTS • Computer systems organization → Real-time system specification; Embedded systems; System on a chip;

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Section: Quality Of Servicementioning

confidence: 99%

Dynamic Constraints for Mixed-Criticality Systems

Juhász

Jantsch

2019

Proceedings of the International Conference on Omni-Layer Intelligent Systems

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A Model Considering QoS for Real-Time Systems with Energy and Temperature Constraints

Mossé

Camponogara

Lima³

2014

2014 Brazilian Symposium on Computing Systems Engineering

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Saving energy is widespread goal, particularly in battery-supplied real-time embedded systems. Moreover, application lifetime and delivered quality of service are associated with the amount of energy that can be saved. In this context, mechanisms for providing energy savings must be in place and should take into consideration system-wide aspects such as CPU usage and temperature, which influence in the energy consumed by the system. In this paper we describe a model to capture such needs. The model is formalized as a convex optimization problem, with the goal of maximizing system quality of service while being subject to schedulability, energy, and temperature constraints. The CPU frequency and task execution time are decision variables. The effectiveness and behavior of the proposed solution is shown through numerical analysis. We conclude that a good approximate solution is enough for guarantee the constraints.

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Prediction-guided performance-energy trade-off for interactive applications

Song

Suh

2015

Proceedings of the 48th International Symposium on Microarchitecture

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Optimizing QoS in Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency

Cited by 3 publications

References 13 publications

Dynamic Constraints for Mixed-Criticality Systems

Dynamic Constraints for Mixed-Criticality Systems

A Model Considering QoS for Real-Time Systems with Energy and Temperature Constraints

Prediction-guided performance-energy trade-off for interactive applications

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