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基于云計算的航空飛行試驗數據中心任務(wù)調度優(yōu)化架構設計
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上海航空工業(yè)(集團)有限公司

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Optimization architecture design of mission scheduling for aviation flight test data center based on cloud computing
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    摘要:

    為解決航空飛行試驗數據中心任務(wù)調度行為明顯滯后的問(wèn)題,實(shí)現對航空飛行試驗數據的實(shí)時(shí)調度,設計基于云計算的航空飛行試驗數據中心任務(wù)調度優(yōu)化架構。設置WiRo中心網(wǎng)絡(luò ),聯(lián)合試驗數據預測器與飛行任務(wù)分配器,完善中心任務(wù)調度優(yōu)化架構體系的基礎應用結構設計。根據PSO優(yōu)化度量值的取值范圍,求解慣性權重指標與粒子編碼條件,并按照云計算法則,推導函數表達式條件,實(shí)現基于云計算的航空飛行試驗數據調度模型的構建。在動(dòng)態(tài)數據權限的約束下,計算中心調度任務(wù)的資源占用率與長(cháng)尾延遲參數,實(shí)現對任務(wù)調度架構的優(yōu)化配置,聯(lián)合WiRo中心網(wǎng)絡(luò )及EMU調度結構,完成基于云計算的航空飛行試驗數據中心任務(wù)調度優(yōu)化架構的設計。實(shí)驗結果表明,云計算技術(shù)作用下,單位時(shí)間內的數據吞吐量達到了9.85B/s,由數據吞吐量有限造成的中心任務(wù)調度行為滯后的問(wèn)題得到較好解決,符合實(shí)時(shí)調度航空飛行試驗數據的實(shí)際應用需求。

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    In order to solve the problem that the task scheduling behavior of the aviation flight test data center is obviously lagging behind, and realize the real-time scheduling of the aviation flight test data, the optimization architecture of the aviation flight test data center task scheduling based on cloud computing is designed. Set up WiRo center network, joint test data predictor and flight task distributor, and improve the basic application architecture design of the center's mission scheduling optimization architecture. According to the value range of PSO optimization measures, the inertia weight index and particle coding conditions are solved, and the function expression conditions are derived according to the cloud computing rules to realize the construction of the aviation flight test data scheduling model based on cloud computing. Under the constraint of dynamic data permissions, the resource occupancy rate and long tail delay parameters of the scheduling tasks of the computing center can realize the optimal configuration of the task scheduling architecture, and complete the design of the task scheduling optimization architecture of the aviation flight test data center based on cloud computing in combination with the WiRo central network and EMU scheduling architecture. The experimental results show that the data throughput per unit time has reached 9.85B/s under the effect of cloud computing technology, and the problem of central task scheduling behavior lag caused by the limited data throughput has been well solved, which meets the practical application requirements of real-time scheduling aviation flight test data.

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許辰宏,于劉.基于云計算的航空飛行試驗數據中心任務(wù)調度優(yōu)化架構設計計算機測量與控制[J].,2024,32(2):168-173.

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  • 收稿日期:2023-03-03
  • 最后修改日期:2023-04-18
  • 錄用日期:2023-04-19
  • 在線(xiàn)發(fā)布日期: 2024-03-20
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