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聯(lián)網(wǎng)嵌入式系統(tǒng)可用性檢測(cè)機(jī)制的研究與實(shí)現(xiàn)

發(fā)布時(shí)間:2018-10-13 11:38
【摘要】:隨著嵌入式系統(tǒng)技術(shù)與網(wǎng)絡(luò)技術(shù)相結(jié)合的信息物理融合系統(tǒng)(Cyber-physical Systems,CPS)應(yīng)用逐漸普及。存在大量的不穩(wěn)定因素,如硬件部件的不穩(wěn)定性、人工軟件模塊的不穩(wěn)定性以及外部應(yīng)用環(huán)境的大量干擾,導(dǎo)致嵌入式系統(tǒng)不能穩(wěn)定的工作。因此,研究增強(qiáng)聯(lián)網(wǎng)嵌入式系統(tǒng)穩(wěn)定性的可用性檢測(cè)機(jī)制是很有必要的。 為了增強(qiáng)聯(lián)網(wǎng)嵌入式系統(tǒng)的穩(wěn)定性,研究和實(shí)現(xiàn)了嵌入式系統(tǒng)可用性檢測(cè)機(jī)制。該機(jī)制分成嵌入式系統(tǒng)的自我檢測(cè)和遠(yuǎn)程檢測(cè),其中包括使用基于ICMP協(xié)議檢測(cè)技術(shù)實(shí)現(xiàn)網(wǎng)絡(luò)連接狀態(tài)的檢測(cè);使用基于監(jiān)視定時(shí)器的檢測(cè)技術(shù)實(shí)現(xiàn)線程運(yùn)行狀態(tài)的檢測(cè);使用系統(tǒng)性能異常檢測(cè)技術(shù)實(shí)現(xiàn)自身狀態(tài)檢測(cè)。在機(jī)制的實(shí)現(xiàn)方法中,采用了內(nèi)核態(tài)檢測(cè)數(shù)據(jù)獲取方案和多點(diǎn)閾值判斷方法,提高了效率和精確度。此外,在基于內(nèi)核態(tài)檢測(cè)數(shù)據(jù)獲取方案基礎(chǔ)上,實(shí)現(xiàn)了基于CIM/WBEM(通用信息模型/基于萬(wàn)維網(wǎng)的企業(yè)管理)架構(gòu)的遠(yuǎn)程檢測(cè)模塊,使得遠(yuǎn)程檢測(cè)模塊具有更好的擴(kuò)展性,,而且不依賴(lài)于數(shù)據(jù)庫(kù)。 通過(guò)模擬的故障事件,對(duì)基于ICMP協(xié)議的檢測(cè)技術(shù)和基于監(jiān)視定時(shí)器的檢測(cè)技術(shù)進(jìn)行了驗(yàn)證;通過(guò)實(shí)驗(yàn)驗(yàn)證了基于內(nèi)核態(tài)檢測(cè)數(shù)據(jù)獲取的系統(tǒng)性能異常檢測(cè)方案的可行性,并對(duì)多點(diǎn)閾值判斷方法進(jìn)行定量分析,說(shuō)明其準(zhǔn)確性;通過(guò)CIM客戶(hù)端查看嵌入式系統(tǒng)中的內(nèi)存信息,驗(yàn)證了遠(yuǎn)程檢測(cè)方案的可行性。
[Abstract]:With the integration of embedded system technology and network technology, the application of information physics fusion system (Cyber-physical Systems,CPS) is becoming more and more popular. There are a lot of unstable factors, such as the instability of hardware components, the instability of artificial software module and the interference of external application environment, which lead to the unstable work of embedded system. Therefore, it is necessary to study the usability detection mechanism to enhance the stability of networked embedded systems. In order to enhance the stability of networked embedded system, the usability detection mechanism of embedded system is studied and implemented. The mechanism is divided into self-detection and remote detection of embedded system, including the detection of network connection status based on ICMP protocol, the detection technology based on monitoring timer to detect the state of thread running. The system performance anomaly detection technique is used to realize its own state detection. In order to improve the efficiency and accuracy, the kernel detection data acquisition scheme and the multi-point threshold method are used in the implementation of the mechanism. In addition, a remote detection module based on CIM/WBEM (General Information Model / Enterprise Management based on World wide Web) architecture is implemented on the basis of the data acquisition scheme based on kernel detection, which makes the remote detection module more extensible. And not dependent on the database. Through the simulation of fault events, the detection technology based on ICMP protocol and the detection technology based on monitor timer are verified, and the feasibility of the system performance anomaly detection scheme based on kernel detection data acquisition is verified by experiments. The method of multi-point threshold judgment is quantitatively analyzed to show its accuracy, and the feasibility of remote detection scheme is verified by CIM client viewing the memory information in embedded system.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類(lèi)號(hào)】:TP368.1;TP202

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