本文選題：知識(shí)推理 + MapReduce　； 參考：《電子科技大學(xué)學(xué)報(bào)》2016年03期

【摘要】：海量網(wǎng)絡(luò)流量數(shù)據(jù)的處理與單一節(jié)點(diǎn)的計(jì)算能力瓶頸這一矛盾導(dǎo)致數(shù)據(jù)分類效率低,無法滿足現(xiàn)實(shí)需求。為解決這一問題,結(jié)合本體與MapReduce技術(shù)各自在海量異構(gòu)數(shù)據(jù)描述與處理方面的優(yōu)勢(shì),提出一種基于本體的并行網(wǎng)絡(luò)流量分類方法。該方法基于MapReduce并行計(jì)算架構(gòu),根據(jù)網(wǎng)絡(luò)流量本體結(jié)構(gòu),對(duì)網(wǎng)絡(luò)流量本體并行化構(gòu)建;通過并行知識(shí)推理完成基于流量統(tǒng)計(jì)特征的網(wǎng)絡(luò)流量分類。實(shí)驗(yàn)結(jié)果表明,集群環(huán)境下基于MapReduce的網(wǎng)絡(luò)流量本體構(gòu)建效率明顯高于單機(jī)環(huán)境,而且適當(dāng)增加計(jì)算節(jié)點(diǎn)使得加速比線性提升;并行知識(shí)推理的分類方法能夠有效地提高大規(guī)模網(wǎng)絡(luò)流量的分類效率。
[Abstract]:The contradiction between the processing of massive network traffic data and the bottleneck of computing power of a single node leads to the low efficiency of data classification and can not meet the actual needs. To solve this problem, combining the advantages of ontology and MapReduce in describing and processing massive heterogeneous data, a parallel network traffic classification method based on ontology is proposed. The method is based on the MapReduce parallel computing architecture, constructs the network traffic ontology parallelization according to the network traffic ontology structure, and accomplishes the network traffic classification based on the traffic statistics by parallel knowledge reasoning. The experimental results show that the efficiency of constructing network traffic ontology based on MapReduce in cluster environment is obviously higher than that in single computer environment, and the increase of computing nodes makes the speedup linear. The classification method of parallel knowledge reasoning can effectively improve the classification efficiency of large scale network traffic.
【作者單位】： 桂林電子科技大學(xué)認(rèn)知無線電與信息處理省部共建教育部重點(diǎn)實(shí)驗(yàn)室;桂林電子科技大學(xué)廣西高校云計(jì)算與復(fù)雜系統(tǒng)重點(diǎn)實(shí)驗(yàn)室;桂林電子科技大學(xué)廣西可信軟件重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61163058,61363006) 廣西可信軟件重點(diǎn)實(shí)驗(yàn)室開放課題(KX201306) 廣西高校云計(jì)算與復(fù)雜系統(tǒng)重點(diǎn)實(shí)驗(yàn)室開放課題(14104)
【分類號(hào)】：TP393.06
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本文編號(hào)：2058264