Adaptive co-scheduling for periodic application and update transactions in real-time database systems

Han, Song; Lam, Kam-Yiu; Wang, Jiantao; Son, Sang H.; Mok, Aloysius K.

doi:10.1016/j.jss.2012.03.055

Cited by 21 publications

(8 citation statements)

References 34 publications

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“…), and finally to uninstall the uninstall function. The initialization of the module and the registration of the character device are completed after the execution of the insmod command, and the interface function is executed after calling the function of the same name in the application layer, and the unloading function is executed after executing the rmmod command [4]. At the user level, you first need to use the open() (or fopen) function to open the ADC device node, and then use ioctl() to set the number of channels used for each ADC conversion.…”

Section: The Design Of Harmful Gas Concentration Acquisition Modulementioning

confidence: 99%

Research on Intelligent Helmet for Safety Monitoring in Coal Mine

Guo¹,

Wu²

2017

dtetr

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In view of the problems existing in the coal mine underground safety monitoring, such as the blind area of the monitoring and the arrangement of the safety monitoring sensor, it is difficult to keep up with the progress of the mining face, in this paper, the idea of strong mobility and miniaturization is introduced, and the design method of a new kind of intelligent helmet is proposed, which is based on the integration of various sensors and wireless communication. On the basis of the overall design of the system, this paper introduces the design of the sensor node, the voice module, the video module and the wireless communication module, and the algorithm of personnel location is described.

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Section: The Design Of Harmful Gas Concentration Acquisition Modulementioning

confidence: 99%

Research on Intelligent Helmet for Safety Monitoring in Coal Mine

Guo¹,

Wu²

2017

dtetr

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“…In addition, when monitoring host partner receives applications for supplementing historical data sent by the remote monitoring data engine of security information system server, it will automatically extract relevant data from the historical database to replenish the historical data which lost in the server [4].…”

Section: Fig 2 Data Flow Diagrammentioning

confidence: 99%

Managing System of Coal Mine Safety Monitoring Information Based on Real-Time Requirements

Guo¹,

Wu²,

Wang³

2016

Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)

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Abstract. The traditional relations database cannot satisfy the management system of coal mine safety monitoring information which needs the real-time data fast response, but the real-time database can realize well to monitoring system's data management, exchange and sharing. According to the coal mine safety monitoring information management system's characteristic, proposed the real-time database design method. Described the system design in detail, and then introduced the real-time data engine's design as well as the real-time database's design, also described the real-time data transmission structure.

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“…Fig. 2 shows the system model to be studied in this paper [24]. It consists of a fixed set of periodic control tasks and a set of update tasks.…”

Section: Related Workmentioning

confidence: 99%

On Least Idle Slot First Co-scheduling of Update and Control Tasks in Real-Time Sensing and Control Systems

Wang

Han

Lam

et al. 2011

2011 IEEE 17th International Conference on Parallel and Distributed Systems

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Typical real-time sensing and control systems consist of a set of update tasks for installing sensor measurements from the operation environment and a set of control tasks to access to these measurements for making control decisions. Although configuring the sensors with higher sampling rates could improve the accuracy of the measurements and control quality in general, scheduling high frequent update jobs may seriously affect the schedulability of the control tasks. Missing or delaying the control tasks may severely degrade the overall control performance of the system. In this paper, instead of using the traditional periodic update model, we adopt the aperiodic update model in generating update jobs for maintaining data validity. We propose an adaptive co-scheduling algorithm called Least Idle Slot First (LISF) to schedule the update tasks and control tasks with the purposes to meet the deadlines of the control tasks and maximize the quality of control (QoC) offered by the control tasks. LISF schedules the jobs in the ascending order of the number of available idle slots before their deadlines and defers the release times of update jobs as long as the corresponding data objects are maintained within the required quality. The experiment results show that LISF can effectively improve the system schedulability and the control performance in the real-time sensing and control systems.

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Adaptive co-scheduling for periodic application and update transactions in real-time database systems

Cited by 21 publications

References 34 publications

Research on Intelligent Helmet for Safety Monitoring in Coal Mine

Research on Intelligent Helmet for Safety Monitoring in Coal Mine

Managing System of Coal Mine Safety Monitoring Information Based on Real-Time Requirements

On Least Idle Slot First Co-scheduling of Update and Control Tasks in Real-Time Sensing and Control Systems

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