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* using a shared database as the basis for communicating between [[Parallel computing|parallel processes]] in [[distributed computing]] applications, as opposed to direct [[inter-process communication]] via [[message passing]] functions and [[message-oriented middleware]]. A potential benefit of database-centric architecture in [[distributed application]]s is that it simplifies the design by utilizing DBMS-provided [[transaction processing]] and [[Index (database)|indexing]] to achieve a high degree of reliability, performance, and capacity.<ref>{{Citation |author=Lind P, Alm M |title=A database-centric virtual chemistry system |journal=J Chem Inf Model |volume=46 |issue=3 |pages=1034–9 |year=2006 |pmid=16711722 |doi=10.1021/ci050360b |postscript=. }}</ref> For example, [[Base One]] describes a database-centric distributed computing architecture for [[Grid computing|grid]] and [[Computer cluster|cluster]] computing, and explains how this design provides enhanced security, fault-tolerance, and [[scalability]].<ref>[http://www.boic.com/dbgrid.htm Database-Centric Grid and Cluster Computing]</ref>
* an overall [[enterprise architecture]] that favors shared data models<ref>{{Cite news|url=http://tdan.com/the-data-centric-revolution/18780|title=The Data Centric Revolution|newspaper=TDAN.com|access-date=2017-01-09}}</ref> over allowing each application to have its own, idiosyncratic data model.
Even an extreme database-centric architecture called '''RDBMS-only architecture'''<ref>{{Cite book|last1=Vicente|first1=Alfonso|last2=Etcheverry|first2=Lorena|last3=Sabiguero|first3=Ariel|title=2021 XLVII Latin American Computing Conference (CLEI) |chapter=An RDBMS-only architecture for web applications |date=2021|chapter-url=https://ieeexplore.ieee.org/document/9640017|pages=1–9|doi=10.1109/CLEI53233.2021.9640017|isbn=978-1-6654-9503-5 |s2cid=245387844 }}</ref> <ref>{{Cite journal |last=Vicente |first=Alfonso |date=2023-06-30 |title=In defense of extreme database-centric architecture
==See also==
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