10 Rules for Scalable Performance in 'Simple Operation' Datastores.
The article presents a set of guidelines on scalable SQL and NoSQL datastores which involve relational database management systems (RDBMSs) using multiple servers. It is argued that applications must be designed for scalability in a web 2.0 context, and topics such as operations that span partitions...
| Publicado en: | Communications of the ACM Vol. 54; no. 6; pp. 72 - 81 |
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| Autores principales: | , |
| Formato: | Artículo |
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Association for Computing Machinery
Jun2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=63231739&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 63231739 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jun2011 vid: 54 iid: 6 pid: 68 pub: Association for Computing Machinery artinfo: ui: 63231739 10.1145/1953122.1953144 ppf: 72 ppct: 9 formats: tig: atl: 10 Rules for Scalable Performance in 'Simple Operation' Datastores. aug: au: STONEBRAKER, MICHAEL CATTELL, RICK affil: Adjunct professor, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. su: Relational databases Parallel processing SQL Database management Software architecture Web 2.0 sug: subj: Relational databases Parallel processing SQL Database management Software architecture Web 2.0 ab: The article presents a set of guidelines on scalable SQL and NoSQL datastores which involve relational database management systems (RDBMSs) using multiple servers. It is argued that applications must be designed for scalability in a web 2.0 context, and topics such as operations that span partitions, parallelism, and requirements for consistency guarantees are discussed. Rules are promulgated regarding issues such as high-level languages, automatic recovery, the hazards of multi-node operations, and the advantages of open source software. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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