Deadline and Period Assignment for Update Transactions in Co-Scheduling Environment

Li, Guohui; Deng, Chenggang; Li, Jianjun; Zhou, Quan; Wei, Wei

doi:10.1109/tc.2016.2645205

Cited by 9 publications

(10 citation statements)

References 44 publications

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“…minD* [36] is an existing deadline and period assignment method for the DPC problem. Since the QoS of control transactions cannot be guaranteed, minD* cannot be directly used for the CS-SLG problem.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…minD* [36] is an existing deadline and period assignment method for the DPC problem. In this section, we propose an effective co-scheduling method, minD*-SLG, which extends minD* to resolve the CS-SLG problem.…”

Section: A the Mind*-slg Methodsmentioning

confidence: 99%

“…All the above three methods aim to maximize the QoD under the premise of the schedulability of control transactions, thus update transactions may miss their deadlines. Li et al [36] considered the problem of how to derive deadline and period for update transactions to maintain the temporal consistency of real-time data objects, while guaranteeing the hybrid transaction set to be EDFschedulable. However, this work does not guarantee the cleanliness of the execution results of control transactions.…”

Section: Related Workmentioning

confidence: 99%

“…A new problem is defined in this section. Before defining the new problem, we review an existing problem, the DPC problem [36], defined as follows.…”

Section: Problem To Be Addressedmentioning

confidence: 99%

“…Deadline and Period Calculation (DPC) problem: [36] Given a hybrid transaction set T which consists of update transaction set T u and control transaction set T c , derive deadlines and periods for the update transactions in T u , such that, 1) T is schedulable under EDF.…”

Section: Problem To Be Addressedmentioning

confidence: 99%

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Guarantee the Quality-of-Service of Control Transactions in Real-Time Database Systems

Deng

Zhou

et al. 2020

IEEE Access

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Temporal consistency analysis is an important problem in Real-Time Database Systems (RTDBSs). Most of existing works on hybrid transaction co-scheduling focus on exploring effective deadline and period assignment methods which can guarantee the temporal consistency of data objects and the schedulability of transactions. To the best of our knowledge, all existing researches have not yet invested sufficient efforts on guaranteeing the Quality of Service (QoS) of control transactions and allow control transactions finish their execution after the data obtained by these control transactions expire. In this paper, we define a new problem of how to schedule a hybrid transaction set under the guarantee on QoS of control transactions. Two deadline and period assignment methods for addressing the defined problem are proposed in this work. Both the proposed methods support the Earliest Deadline First (EDF) scheduling. Extensive experiments are conducted to evaluate the performances of the proposed methods in terms of acceptance ratio, processor workload and efficiency. INDEX TERMS Real-time database systems, QoS of control transactions, hybrid transaction set, the EDF scheduling, deadline and period assignment.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: A the Mind*-slg Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…A new problem is defined in this section. Before defining the new problem, we review an existing problem, the DPC problem [36], defined as follows.…”

Section: Problem To Be Addressedmentioning

confidence: 99%

Section: Problem To Be Addressedmentioning

confidence: 99%

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Guarantee the Quality-of-Service of Control Transactions in Real-Time Database Systems

Deng

Zhou

et al. 2020

IEEE Access

Self Cite

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Research on parameter optimisation of dynamic priority scheduling algorithm based on improved reinforcement learning

Meng

Zhu

Xia

et al. 2020

IET Generation, Transmission & Distribution

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Database dynamic update management system for power system

Zhang

Yuan

et al. 2020

J. Phys.: Conf. Ser.

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Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically, thereby real-time monitoring of the power grid; further, combining big data analysis and power system models, Can diagnose, optimize and predict the operation of the power grid, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid. The data sources of the power industry are mainly derived from the power generation, transmission, transformation, distribution, power consumption and dispatching of power production and use of electricity, which can be roughly divided into three categories: one is grid operation and equipment detection or monitoring data; two It is the marketing data of electric power companies, such as data on transaction electricity prices, electricity sales, and customers. Third is the management data of electric power companies. Through the use of smart terminal equipment such as smart meters, the operating data of the entire power system can be collected, and then the collected power big data can be processed and analyzed systematically to achieve real-time monitoring of the power grid; further combining big data analysis and power system models for the power grid Diagnose, optimize and predict the operation, and provide guarantee for the safe, reliable, economical and efficient operation of the power grid.

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Deadline and Period Assignment for Update Transactions in Co-Scheduling Environment

Cited by 9 publications

References 44 publications

Guarantee the Quality-of-Service of Control Transactions in Real-Time Database Systems

Guarantee the Quality-of-Service of Control Transactions in Real-Time Database Systems

Research on parameter optimisation of dynamic priority scheduling algorithm based on improved reinforcement learning

Database dynamic update management system for power system

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