Feedback-Based Energy Management in a Standby-Sparing Scheme for Hard Real-Time Systems

Tavana, Mohammad Khavari; Salehi, M T Zahraei; Ejlali, Alireza

doi:10.1109/rtss.2011.39

Cited by 21 publications

(30 citation statements)

References 14 publications

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“…Consequently, underutilization of resources can often be observed during hard real-time system run-time. The emerging dynamic slack can be used for various purposes, including energy conservation by means of dynamic voltage and frequency scaling (DVFS) or switching off the unused cores with clock or power gating and slack reclamation protocols [13,14].…”

Section: Related Workmentioning

confidence: 99%

“…However, further research [13,14] shows that although the number of deadline misses must not be used as an observed value (since any positive error value would violate the hard real-time constraints), observing other system's parameters, such as dynamic slack, created when tasks are executed earlier than their worst-case execution time (WCET), or core utilisation, could help in allocating and scheduling tasks in a real-time system.…”

Section: Introductionmentioning

confidence: 99%

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Feedback-Based Admission Control for Hard Real-Time Task Allocation Under Dynamic Workload on Many-Core Systems

Dziurzański

Singh

Indrusiak

2016

Architecture of Computing Systems – ARCS 2016

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Abstract. In hard real-time systems, a computationally expensive schedulability analysis has to be performed for every task. Fulfilling this requirement is particularly tough when system workload and service capacity are not available a priori and thus the analysis has to be conducted at runtime. This paper presents an approach for applying control-theorybased admission control to predict the task schedulability so that the exact schedulability analysis is performed only to the tasks with positive prediction results. In case of a careful fine-tuning of parameters, the proposed approach can be successfully applied even to many-core embedded systems with hard real-time constraints and other time-critical systems.The provided experimental results demonstrate that, on average, only 62% of the schedulability tests have to be performed in comparison with the traditional, open-loop approach. The proposed approach is particularly beneficial for heavier workloads, where the number of executed tasks is almost unchanged in comparison with the traditional open-loop approach. By our approach, only 32% of exact schedulability tests have to be conducted. Moreover, for the analysed industrial workloads with dependent jobs, the proposed technique admitted and executed 11% more tasks while not violating any timing constraints.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feedback-Based Admission Control for Hard Real-Time Task Allocation Under Dynamic Workload on Many-Core Systems

Dziurzański

Singh

Indrusiak

2016

Architecture of Computing Systems – ARCS 2016

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“…Mathematically, it represents an infinite series of intervals, such as: [100,140), [200,240),.... This extension is expressive enough to represent strictly periodic tasks.…”

Section: Modelling Load Temporal Behaviourmentioning

confidence: 99%

“…However, further research [140,162] show that although the number of deadline misses must not be used as an observed value (since any positive error value would violate the hard real-time constraints), observing other system's parameters, such as dynamic slack, created when tasks are executed earlier than their worst-case execution time (WCET), or core utilisation, could help in allocating and scheduling tasks in a real-time system.…”

Section: Feedback-based Allocation and Optimisation Heuristicsmentioning

confidence: 99%

Section: Related Work 71mentioning

confidence: 99%

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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Indrusiak

Dziurzański

Singh

2016

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

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The "River Publishers Series in Information Science and Technology" covers research which ushers the 21st Century into an Internet and multimedia era. Multimedia means the theory and application of filtering, coding, estimating, analyzing, detecting and recognizing, synthesizing, classifying, recording, and reproducing signals by digital and/or analog devices or techniques, while the scope of "signal" includes audio, video, speech, image, musical, multimedia, data/content, geophysical, sonar/radar, bio/medical, sensation, etc. Networking suggests transportation of such multimedia contents among nodes in communication and/or computer networks, to facilitate the ultimate Internet.Theory, technologies, protocols and standards, applications/services, practice and implementation of wired/wireless networking are all within the scope of this series. Based on network and communication science, we further extend the scope for 21st Century life through the knowledge in robotics, machine learning, embedded systems, cognitive science, pattern recognition, quantum/biological/molecular computation and information processing, biology, ecology, social science and economics, user behaviors and interface, and applications to health and society advance.Books published in the series include research monographs, edited volumes, handbooks and textbooks. The books provide professionals, researchers, educators, and advanced students in the field with an invaluable insight into the latest research and developments.

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Energy-aware primary/backup scheduling of periodic real-time tasks on heterogeneous multicore systems

Roy

Aydın

Zhu

2021

Sustainable Computing: Informatics and Systems

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Feedback-Based Energy Management in a Standby-Sparing Scheme for Hard Real-Time Systems

Cited by 21 publications

References 14 publications

Feedback-Based Admission Control for Hard Real-Time Task Allocation Under Dynamic Workload on Many-Core Systems

Feedback-Based Admission Control for Hard Real-Time Task Allocation Under Dynamic Workload on Many-Core Systems

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Energy-aware primary/backup scheduling of periodic real-time tasks on heterogeneous multicore systems

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