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On K-means clustering-based approach for DDBSs design

On K-means clustering-based approach for DDBSs design

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8091437f1da74d4d9a870e08a415f434

On K-means clustering-based approach for DDBSs design

About this item

Full title

On K-means clustering-based approach for DDBSs design

Author / Creator

Publisher

Cham: Springer International Publishing

Journal title

Journal of Big Data, 2020-05, Vol.7 (1), p.1-31, Article 31

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

In Distributed Database Systems (DDBS), communication costs and response time have long been open-ended challenges. Nevertheless, when DDBS is carefully designed, the desired reduction in communication costs will be achieved. Data fragmentation (data clustering) and data allocation are on popularity as the prime strategies in constant use to design...

Alternative Titles

Full title

On K-means clustering-based approach for DDBSs design

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8091437f1da74d4d9a870e08a415f434

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8091437f1da74d4d9a870e08a415f434

Other Identifiers

ISSN

2196-1115

E-ISSN

2196-1115

DOI

10.1186/s40537-020-00306-9

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