發(fā)布時(shí)間：2018-01-21 02:40

  本文關(guān)鍵詞： 云監(jiān)控 對(duì)等監(jiān)控網(wǎng)絡(luò) 云平臺(tái) 分布式存儲(chǔ)集群　出處：《計(jì)算機(jī)應(yīng)用》2015年12期 　論文類(lèi)型：期刊論文

【摘要】：為解決傳統(tǒng)方案中單節(jié)點(diǎn)帶來(lái)的性能瓶頸和低可靠性問(wèn)題,基于對(duì)等監(jiān)控網(wǎng)絡(luò)設(shè)計(jì)并實(shí)現(xiàn)了云監(jiān)控系統(tǒng)解決方案。在硬件部署上,該解決方案將監(jiān)控節(jié)點(diǎn)封裝在應(yīng)用容器中,分布式部署在不同機(jī)架上,組建對(duì)等的監(jiān)控網(wǎng)絡(luò);監(jiān)控節(jié)點(diǎn)間采用非關(guān)系型數(shù)據(jù)庫(kù)構(gòu)建分布式存儲(chǔ)集群,實(shí)現(xiàn)了監(jiān)控?cái)?shù)據(jù)的異地訪問(wèn)和備份。在軟件實(shí)現(xiàn)上,該解決方案進(jìn)行了分層設(shè)計(jì),采用推拉結(jié)合的方式收集數(shù)據(jù),對(duì)采集的數(shù)據(jù)進(jìn)行可信度評(píng)估和分布式存儲(chǔ),使用閾值控制和主機(jī)空閑評(píng)估相結(jié)合的策略對(duì)云中主機(jī)進(jìn)行智能化管控。通過(guò)系統(tǒng)測(cè)試,發(fā)現(xiàn)該監(jiān)控系統(tǒng)對(duì)計(jì)算資源的平均占用率僅有2.17%;而1 ms內(nèi)響應(yīng)讀寫(xiě)請(qǐng)求的平均比率達(dá)到93%以上,表明該解決方案具有資源消耗率低、高頻次讀寫(xiě)效率高的性能優(yōu)勢(shì)。
[Abstract]:In order to solve the performance bottleneck and low reliability problems caused by single node in traditional solutions, a cloud monitoring system solution based on peer-to-peer monitoring network is designed and implemented. The solution encapsulates the monitoring node in the application container and distributes it on different frames to build a peer-to-peer monitoring network. Monitoring nodes use non-relational database to construct distributed storage cluster, which realizes remote access and backup of monitoring data. In software implementation, the solution is designed in a hierarchical way. The data is collected by the combination of push and pull, and the reliability of the collected data is evaluated and distributed storage is carried out. The strategy of combining threshold control and host idle evaluation is used to intelligently control the host in the cloud. Through the system test, it is found that the average utilization rate of the monitoring system for computing resources is only 2.17; The average rate of response to read / write request in 1 Ms is over 93%, which indicates that the solution has the advantages of low resource consumption and high frequency reading and writing efficiency.
【作者單位】： 空軍工程大學(xué)信息與導(dǎo)航學(xué)院;
【分類(lèi)號(hào)】：TP393.06
【正文快照】： 0引言隨著云計(jì)算技術(shù)的迅猛發(fā)展,針對(duì)大規(guī)模云集群進(jìn)行及時(shí)有效的管理變得越來(lái)越重要。云監(jiān)控系統(tǒng),是針對(duì)云資源進(jìn)行動(dòng)態(tài)監(jiān)控的有效工具。該系統(tǒng)主要由監(jiān)測(cè)和管控兩大部分構(gòu)成。數(shù)據(jù)監(jiān)測(cè)一般采用分別在監(jiān)控節(jié)點(diǎn)和被監(jiān)控節(jié)點(diǎn)中運(yùn)行守護(hù)進(jìn)程的方式加以實(shí)現(xiàn)[1]。監(jiān)測(cè)的數(shù)據(jù)包括硬

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 王學(xué)龍;張t，

本文編號(hào)：1450213