On K-means clustering-based approach for DDBSs design

On K-means clustering-based approach for DDBSs design

Abstract 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 p...

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Bibliographic Details
Main Author: Ali A. Amer
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Journal of Big Data
Subjects:
DDBS
Data allocation
Data replication
Query clustering
K-means algorithm
Online Access:http://link.springer.com/article/10.1186/s40537-020-00306-9

Internet

http://link.springer.com/article/10.1186/s40537-020-00306-9

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