Exploring Energy Saving for Mixed-Criticality Systems on Multi-Cores

Narayana, Sujay; Huang, Pengcheng; Giannopoulou, Georgia; Thiele, Lothar; Prasad, R. Venkatesha

doi:10.1109/rtas.2016.7461336

Cited by 42 publications

(12 citation statements)

References 24 publications

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“…Little work has been done [30], [40], [42] that considered both energy awareness and MC scheduling. All these papers assumed that all lo-criticality tasks are dropped after a modeswitch.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

Bhuiyan

Reghenzani

Fornaciari

et al. 2020

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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The strict requirements on the timing correctness biased the modeling and analysis of real-time systems towards the worst-case performances. Such focus on the worst-case, however, does not provide enough information to effectively steer the resource/energy optimization. In this paper, we integrate a probabilistic-based energy prediction strategy with the precise scheduling of mixed-criticality tasks, where the timing correctness must be met for all tasks at all scenarios. The Dynamic Voltage and Frequency Scaling (DVFS) is applied to this precise scheduling policy to enable energy minimization. We propose a probabilistic technique to derive an energy-efficient speed (for the processor) that minimizes the average energy consumption, while guaranteeing the (worst-case) timing correctness for all tasks, including lo-criticality ones, under any execution condition. We present a response time analysis for such systems under the nonpreemptive fixed-priority scheduling policy. Finally, we conduct an extensive simulation campaign based on randomly generated task sets to verify the effectiveness of our algorithm (w.r.t. energy savings) and it reports up to 46% energy-saving.

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“…Little work has been done [30], [40], [42] that considered both energy awareness and MC scheduling. All these papers assumed that all lo-criticality tasks are dropped after a modeswitch.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

Bhuiyan

Reghenzani

Fornaciari

et al. 2020

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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“…Hence low-criticality jobs are not abandoned, but more energy is used. They integrate their approach with the EDF-VD scheduling scheme (see Section 3.2) and have since addressed multi-core platforms [Narayana et al 2016]. This approach is extended by Ali et al [2015] who propose a new dynamic power-aware scheduling scheme for hardware with discrete frequency levels.…”

Section: Systems Issuesmentioning

confidence: 99%

A Survey of Research into Mixed Criticality Systems

2017

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This survey covers research into mixed criticality systems that has been published since Vestal's seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and EDF scheduling, shared resources and static and synchronous scheduling), multiprocessor analysis, realistic models, and systems issues. The survey also explores the relationship between research into mixed criticality systems and other topics such as hard and soft time constraints, fault tolerant scheduling, hierarchical scheduling, cyber physical systems, probabilistic real-time systems, and industrial safety standards. CCS Concepts: •Computer systems organization → Real-time system specification; •Software and its engineering → Real-time schedulability; Real-time systems software;

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“…Narayana et al 38 studied a general energy minimization issue for MC systems on multicores. They used a general setting in which both dynamic and static energy consumption are considered for all system operation modes.…”

Section: Energy-e±cient Techniques In MC Systemsmentioning

confidence: 99%

A Review of Recent Techniques in Mixed-Criticality Systems

Chai

Zhang

Sun

et al. 2019

J CIRCUIT SYST COMP

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Unlike traditional embedded systems that almost have only one criticality level, many complex embedded systems nowadays are mixed-critical and are more and more widely used. There has been a lot of research on mixed-criticality (MC) systems. In this paper, we present a survey on the MC systems on these research. First, we discuss the exaltation of the schedulability of MC systems. As improving schedulability may lead to quality-of-service (QoS) reduction of MS systems. Therefore, we investigate the approaches to solve this problem. Improving QoS of MS systems may inevitably increase the energy consumption. Then, we introduce the researches that take the energy efficiency as a design requirement of MC systems. Few MC systems regard fault-tolerance as the design requirement, thus, we extensively investigate fault-tolerance of MC systems. In addition, we introduce some of the main applications for MC systems.

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Exploring Energy Saving for Mixed-Criticality Systems on Multi-Cores

Cited by 42 publications

References 24 publications

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information

A Survey of Research into Mixed Criticality Systems

A Review of Recent Techniques in Mixed-Criticality Systems

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