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distributed and parallel databases in Chinese

Pronunciation:
How to pronounce "distributed and parallel databases""distributed and parallel databases" in a sentence

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  • 分布式與并行數(shù)據(jù)庫

Examples

  • Dpsql is a distributed and parallel database system developed by 8010 research lab
    Dp - sql是由電子科技大學(xué)8010研究室自主研發(fā)的分布式并行數(shù)據(jù)庫系統(tǒng)。
  • Dp - sql is a distributed and parallel database system developed by 8010 research lab
    Dp - sql是由電子科技大學(xué)8010研究室自主研發(fā)的分布式并行數(shù)據(jù)庫系統(tǒng)。
  • Recovery from node failures is a critical issue in distributed and parallel database systems
    恢復(fù)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(wù)的基礎(chǔ)。
  • 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(luò)技術(shù)相結(jié)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(luò)技術(shù)相結(jié)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(lǐng)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(dāng)前最為流行的開放源碼數(shù)據(jù)庫mysql為基礎(chǔ),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(wù)的基礎(chǔ)。
  • 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(wù)的時候,并發(fā)控制的鎖機制可有效的預(yù)防分布式事務(wù)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(wù)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(fù)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。
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