煤炭企業(yè)海量數(shù)據(jù)存儲智能化技術(shù)研究
發(fā)布時間:2018-09-08 07:04
【摘要】:以NoSQL數(shù)據(jù)庫的相關(guān)理論為基礎,借助云計算和云存儲技術(shù)設計了以分布式存儲為架構(gòu)的MongoDB數(shù)據(jù)庫,為煤炭企業(yè)海量生產(chǎn)數(shù)據(jù)的智能化存儲問題提供了解決方案。通過云存儲系統(tǒng)性能測試得出,系統(tǒng)處理海量數(shù)據(jù)的性能高效、穩(wěn)定,明顯優(yōu)于傳統(tǒng)的關(guān)系型數(shù)據(jù)庫。
[Abstract]:Based on the theory of NoSQL database, a MongoDB database based on distributed storage is designed with the help of cloud computing and cloud storage technology, which provides a solution to the problem of intelligent storage of mass production data in coal enterprises. The performance test of cloud storage system shows that the performance of the system is efficient, stable and superior to the traditional relational database.
【作者單位】: 四川交通職業(yè)技術(shù)學院;
【分類號】:F407.21;TP333
,
本文編號:2229729
[Abstract]:Based on the theory of NoSQL database, a MongoDB database based on distributed storage is designed with the help of cloud computing and cloud storage technology, which provides a solution to the problem of intelligent storage of mass production data in coal enterprises. The performance test of cloud storage system shows that the performance of the system is efficient, stable and superior to the traditional relational database.
【作者單位】: 四川交通職業(yè)技術(shù)學院;
【分類號】:F407.21;TP333
,
本文編號:2229729
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