Queueing model analysis and scheduling strategy for embedded multi-core SoC based on task priority

Qiu, Tie; Feng, Lin; Jiang, He; Sun, Weifeng

doi:10.1016/j.compeleceng.2012.03.001

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…cially in networking applications, resource optimization, and performance modeling of computer systems [15][16][17][18][19][20]. In their taxonomy of scheduling in general-purpose distributed computing systems [21], Casavant and Kuhl include queueing theoretic as a basic category of task allocation algorithms which can be used to arrive at an assignment of processes to processors.…”

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confidence: 99%

General queuing model for optimal seamless delivery of payload processing in multi-core processors

et al. 2017

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Recent developments in unmanned aerial systems (UAS) provide new opportunities in remote sensing application. In contrast to satellite and conventional (manned) aerial tasks, UAS flights can be operated in a very short period of time. UAS can also be more specifically focused toward a given task such as crop reconnaissance or electric line tower inspection. For some applications, the delivery time of the remote sensing results is crucial. The current three-phase procedure of data acquisition, data downloading and data processing, performed sequentially in time, represents a drawback that reduces the benefits of using unmanned aerial systems. In this paper, we present a parallel processing strategy, based on queuing theory, in which the data processing phase is performed on board in parallel with data acquisition. The unmanned aerial system payload has been enlarged with low-cost, lightweight, multicore boards to facilitate remote sensing data processing during flight. The storage of the raw sensing data is also done for possible further analysis; however, the ultimate decision support information can be seamless delivered to the customer upon landing. Furthermore, text alarms and limited imagery can also be provided during flight.

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General queuing model for optimal seamless delivery of payload processing in multi-core processors

et al. 2017

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“…Internet of Things (IoTs) is a huge integration of many fields [1,2], including sensor networks, embedded systems, intelligent control [3,4], data processing and fusion, task scheduling and allocation [5,6] etc. The emerging application in IoTs are often based on networks and sensing.…”

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confidence: 99%

A task-efficient sink node based on embedded multi-core SoC for Internet of Things

Qiu

Zhao

et al. 2018

Future Generation Computer Systems

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h i g h l i g h t s • TESN processes tasks in parallel. It has heterogeneous architecture, including one master core and seven slave cores. • TESN adopts WLC to allocate tasks, which balances the load of each slave core and improves the tasks processing speed obviously. • Compared with single core system, TESN effectively reduces the congestion situation. • The performance of WLC based on multi-core processor is better than RR when the number of soft cores is more than two.

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Embedded System for the Analysis of Thermal Properties of Hemoglobin

Castañeda-Miranda¹,

Castaño

2023

Biomedical Materials & Devices

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A novel embedded photoacoustic system design is described and a calculation method is proposed to determine the blood hemoglobin oxygen saturation through the thermal properties of different skin color types. A heat equation model allows a calculation procedure to determine the reflection and transmitted thermal wave amplitude for obtaining a depth profile, depending on the modulation frequency at the air-skin-subcutaneous tissue interface. Our reflection-mode photoacoustic technique involves the use of a 445 nm pulsed-laser light spot on subcutaneous tissue to obtain amplitude and phase from signals for different skin color types. The transmission and reflection temperature coefficients are fitted through a heat propagation model to estimate the thermal wave properties of blood hemoglobin. Nonlinearly amplified photoacoustic signals are modeled from the microphone and their stability analyzed by a bode diagram, as to consider overheated hemoglobin background. An dedicated electronic embedded system is thus integrated, including memory, processor and preprocessor, to provide a simple measurement technique, as compared to conventional instruments.

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Queueing model analysis and scheduling strategy for embedded multi-core SoC based on task priority

Cited by 5 publications

References 19 publications

General queuing model for optimal seamless delivery of payload processing in multi-core processors

General queuing model for optimal seamless delivery of payload processing in multi-core processors

A task-efficient sink node based on embedded multi-core SoC for Internet of Things

Embedded System for the Analysis of Thermal Properties of Hemoglobin

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