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基于事件處理的分布式系統(tǒng)故障定位技術(shù)

發(fā)布時(shí)間:2018-07-04 22:28

  本文選題:分布式網(wǎng)絡(luò) + 實(shí)時(shí)監(jiān)控系統(tǒng)。 參考:《計(jì)算機(jī)科學(xué)》2013年S1期


【摘要】:近年來,分布式計(jì)算系統(tǒng)的規(guī)模越來越大、行為越來越復(fù)雜難控,系統(tǒng)中出現(xiàn)的各種故障也呈指數(shù)級(jí)增長(zhǎng),造成了非常嚴(yán)重的危害和損失,并且出現(xiàn)問題時(shí)對(duì)故障的排查、定位難度進(jìn)一步加大。傳統(tǒng)的通過跟蹤程序運(yùn)行軌跡來判斷程序運(yùn)行正確與否的方法,在分布式監(jiān)控信息的交互上因消耗過大而且對(duì)目標(biāo)程序侵入性高,已經(jīng)難以滿足軟件行為分析的需求。通過復(fù)雜事件的處理及時(shí)發(fā)現(xiàn)和定位系統(tǒng)故障在事件大量、快速、不間斷發(fā)生的分布式監(jiān)控環(huán)境中顯得尤為迫切。它可以利用有意義的信息狀態(tài)變化事件分析系統(tǒng)行為,進(jìn)而判斷系統(tǒng)的運(yùn)行狀況,及時(shí)發(fā)現(xiàn)系統(tǒng)故障并定位,保證系統(tǒng)的健康運(yùn)行。當(dāng)前已有的復(fù)雜事件描述語言大多數(shù)是基于SQL的方法來描述復(fù)雜事件。這種數(shù)據(jù)流查詢語言對(duì)于普通用戶而言比較復(fù)雜,難以掌握。通過構(gòu)建一種基于集合的事件流模型,對(duì)事件進(jìn)行形式化定義,使用集合來表示事件,并定義相應(yīng)的操作,使得用戶只需掌握幾個(gè)簡(jiǎn)單的集合操作,便可以定義復(fù)雜的故障規(guī)則。
[Abstract]:In recent years, the scale of the distributed computing system is getting larger and larger, the behavior is more and more complex and difficult to control, and all kinds of faults in the system also increase exponentially, resulting in very serious harm and losses, and troubleshooting when problems occur. Positioning is more difficult. The traditional method to judge whether the program is running correctly or not by tracking the track of the program is difficult to meet the requirement of software behavior analysis because of the excessive consumption of the distributed monitoring information and the high intrusion to the target program. It is very urgent to find and locate the faults of the system through the processing of complex events in the distributed monitoring environment, which has a large number of events, fast and uninterrupted. It can use meaningful information state change events to analyze the system behavior, and then judge the system running condition, find the system fault and locate the system in time, and ensure the healthy operation of the system. Most of the existing complex event description languages are based on SQL to describe complex events. This data stream query language is more complex for ordinary users and difficult to master. By constructing a set based event flow model, the event is formally defined, the event is represented by the set, and the corresponding operation is defined, so that the user can master only a few simple set operations. You can define complex fault rules.
【作者單位】: 國(guó)家計(jì)算機(jī)網(wǎng)絡(luò)應(yīng)急技術(shù)處理協(xié)調(diào)中心;中國(guó)科學(xué)院信息工程研究所;中國(guó)科學(xué)院大學(xué);
【基金】:國(guó)家“242”信息安全計(jì)劃基金項(xiàng)目(2010A029) 中國(guó)科學(xué)院戰(zhàn)略性科技先導(dǎo)專項(xiàng)(XDA06030200)資助
【分類號(hào)】:TP393.08

【二級(jí)參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 蘇利敏,侯朝楨,戴忠健,潘秀琴;基于神經(jīng)網(wǎng)絡(luò)的告警關(guān)聯(lián)[J];北京理工大學(xué)學(xué)報(bào);2002年03期

2 管恩政,周春光,王U,

本文編號(hào):2097706


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