parallel database

"parallel database"的翻譯和解釋

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8 wen j r , chen h , wang s . potential : a highly adaptive core of parallel database system . journal of computer science and technology , november 2000 , 15 : 527 - 541
目前我們正在探索內(nèi)存數(shù)據(jù)庫技術與傳統(tǒng)并行數(shù)據(jù)庫技術的結合，充分利用硬件的進步，來研究高性能高可擴展的mpp ，滿足高吞吐量高性能實時應用的要求。
Distributed and parallel database system ( dpdbs ) is the joint of distributed computing , parallel process , and network technology . it is not only powerful at distributed data management , but also has well performance in parallel processing
分布式并行數(shù)據(jù)庫系統(tǒng)是分布式計算、并行處理以及網(wǎng)絡技術相結合的產(chǎn)物,其不但對分散數(shù)據(jù)具有較強的管理能力,同時具有良好的性能。
Distributed and parallel database system ( dpdbs ) is the joint of distributed computing , parallel process , and network technology . it is not only powerful at distributed data management , but also has well performance in parallel processing
分布式并行數(shù)據(jù)庫系統(tǒng)( distributedandparalleldatabasesystem ，簡稱dpdbs )是分布式計算、并行處理以及網(wǎng)絡技術相結合的產(chǎn)物，其不但對分散數(shù)據(jù)具有較強的管理能力，同時具有良好的性能。
Sigmod record , 1999 , 28 : 60 - 67 . 10 mena e , illarramendi a , kashyap v , sheth a p . observer : an approach for query processing in global information systems based on interoperability across pre - existing ontologies . distributed and parallel databases , 2000 , 8 : 223 - 271
綜合數(shù)據(jù)集成領域的實踐經(jīng)驗和已有研究成果，我們首先給出了一種語義沖突分類框架，基于該框架建立了語義沖突分類本體sco ontology for classification of semantic conflicts ，并且使用rdf圖進行描述。
Based on the most popular open - source database system mysql , it not only retains the high performance of mysql itself , but also possesses most virtues of distributed and parallel systems , such as high reliability , high availability , high throughput , large storage capability , etc . this thesis mainly research the consistency mechanism of distributed and parallel database , the consistency mechanism of database system can provide user normal database service
它以當前最為流行的開放源碼數(shù)據(jù)庫mysql為基礎,不但保持了mysql的高處理速度,而且具有分布式并行系統(tǒng)的高可靠性,高吞吐量、高存儲容量等一系列優(yōu)點。本文主要研究分布式并行數(shù)據(jù)庫的一致性機制,數(shù)據(jù)庫的一致性機制是保證分布式并行數(shù)據(jù)庫系統(tǒng)能正常提供數(shù)據(jù)庫服務的基礎。
In recent years , followed the unceasing development of internet , the customer not only request more faster , safer and reliable to the high performance system , moreover also unceasingly wanted a number of the high performance system . not only in the science computation domain , in the high performance server , the parallel database and so on other domains also appeared to the high performance computation demand
近年來,伴隨著internet的不斷發(fā)展,人們對高性能系統(tǒng)的需求不僅表現(xiàn)為要求系統(tǒng)性能更高、更安全、更可靠,而且對高性能系統(tǒng)的需求也在不斷增多,不僅在科學計算領域,在高性能服務器、并行數(shù)據(jù)庫等其他領域也出現(xiàn)了對高性能計算的需求。
Lock mechanism of that concurrency control can effectively void the dead - lock , two phase commit can guarantee atomicity of the distribute transaction while distributed transaction is executed with which the consistency of the database system is guaranteed . the method of checking the inconsistent is mainly to track the update status of multiple repetitions when distributed and parallel database system is not busy , and to detect inconsistent early . consequently , system can be recovered to best status
數(shù)據(jù)庫在執(zhí)行分布式事務的時候,并發(fā)控制的鎖機制可有效的預防分布式事務中的死鎖現(xiàn)象,兩階段的提交協(xié)議可以保證分布式事務執(zhí)行的原子性,從而有效地保證了分布式并行數(shù)據(jù)庫系統(tǒng)的一致性,不一致性檢測的方法主要是在保證系統(tǒng)非繁忙狀態(tài)下對多個副本間的數(shù)據(jù)庫的更新狀態(tài)進行跟蹤,也保證了數(shù)據(jù)庫多個副本間不一致狀態(tài)的及早發(fā)現(xiàn),從而使系統(tǒng)及時地恢復到最佳運行狀態(tài),提高了分布式并行數(shù)據(jù)庫系統(tǒng)的可用性。