面向云平臺的異構(gòu)監(jiān)控?cái)?shù)據(jù)存儲方法
發(fā)布時(shí)間:2018-08-26 06:52
【摘要】:針對云平臺監(jiān)控?cái)?shù)據(jù)異構(gòu)、數(shù)據(jù)量大、冗余量大、時(shí)序性強(qiáng)的特點(diǎn),提出一種異構(gòu)監(jiān)控?cái)?shù)據(jù)存儲方法。該方法以反范式化為基礎(chǔ),采用統(tǒng)一數(shù)據(jù)表達(dá)方式兼容異構(gòu)源數(shù)據(jù),通過結(jié)合標(biāo)簽分離、數(shù)據(jù)壓縮、預(yù)熱緩存、索引等機(jī)制實(shí)現(xiàn)了云平臺監(jiān)控?cái)?shù)據(jù)的高效存儲,提高了存儲空間利用率,增強(qiáng)了數(shù)據(jù)的可擴(kuò)展性,簡化數(shù)據(jù)管理,降低了數(shù)據(jù)的開發(fā)維護(hù)成本。實(shí)驗(yàn)結(jié)果表明:本文所提出方法滿足云平臺監(jiān)控?cái)?shù)據(jù)高效寫入、實(shí)時(shí)更新與快速查詢的實(shí)際要求。
[Abstract]:Aiming at the characteristics of heterogeneous monitoring data, large amount of data, large redundancy and strong timing, a storage method of heterogeneous monitoring data is proposed. This method is based on reverse paradigm, and uses unified data representation to be compatible with heterogeneous source data. By combining label separation, data compression, preheating cache, index and other mechanisms, the cloud platform monitoring data can be stored efficiently. It improves the utilization of storage space, enhances the expansibility of data, simplifies data management, and reduces the cost of data development and maintenance. The experimental results show that the method proposed in this paper can meet the practical requirements of the cloud platform monitoring data efficiently writing, real-time updating and fast query.
【作者單位】: 武漢大學(xué)計(jì)算機(jī)學(xué)院;武漢大學(xué)空天信息安全與可信計(jì)算教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(U1536204,61373169) 國家科技支撐計(jì)劃項(xiàng)目(2014BAH41B00) 國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)項(xiàng)目(2015AA016004) 信息保障技術(shù)重點(diǎn)實(shí)驗(yàn)室開放基金(KJ-14-110,KJ-14-101)
【分類號】:TP311.13;TP333
,
本文編號:2204071
[Abstract]:Aiming at the characteristics of heterogeneous monitoring data, large amount of data, large redundancy and strong timing, a storage method of heterogeneous monitoring data is proposed. This method is based on reverse paradigm, and uses unified data representation to be compatible with heterogeneous source data. By combining label separation, data compression, preheating cache, index and other mechanisms, the cloud platform monitoring data can be stored efficiently. It improves the utilization of storage space, enhances the expansibility of data, simplifies data management, and reduces the cost of data development and maintenance. The experimental results show that the method proposed in this paper can meet the practical requirements of the cloud platform monitoring data efficiently writing, real-time updating and fast query.
【作者單位】: 武漢大學(xué)計(jì)算機(jī)學(xué)院;武漢大學(xué)空天信息安全與可信計(jì)算教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(U1536204,61373169) 國家科技支撐計(jì)劃項(xiàng)目(2014BAH41B00) 國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)項(xiàng)目(2015AA016004) 信息保障技術(shù)重點(diǎn)實(shí)驗(yàn)室開放基金(KJ-14-110,KJ-14-101)
【分類號】:TP311.13;TP333
,
本文編號:2204071
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