2009
DOI: 10.15837/ijccc.2009.2.2425
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Optimization for Date Redistributed System with Applications

Abstract: In this paper we intend to define a strategy for managing databases with mobile structures, taking into account their redistribution in the nodes of a computer network. The minimal cost of the redistribution is highlighted and some applications for medical and business databases are presented.

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Cited by 15 publications
(21 citation statements)
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“…As the aim of a study is mainly exploratory and descriptive, the present research uses the snowball sampling technique [38][39][40]. This sampling technique offers practical advantages such as having the social networks of identified participants that can provide an ever-expanding set of potential contacts [39][40][41]. Sampling continues until data saturation [42].…”
Section: Sample and Settingsmentioning
confidence: 99%
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“…As the aim of a study is mainly exploratory and descriptive, the present research uses the snowball sampling technique [38][39][40]. This sampling technique offers practical advantages such as having the social networks of identified participants that can provide an ever-expanding set of potential contacts [39][40][41]. Sampling continues until data saturation [42].…”
Section: Sample and Settingsmentioning
confidence: 99%
“…Sampling continues until data saturation [42]. Snowball sampling is a more formal methodology that allows inferences to be made about a population of individuals who have been difficult to count by descending methods such as household surveys [39][40][41].…”
Section: Sample and Settingsmentioning
confidence: 99%
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“…We can achieve such zones with a not very complex algorithm and in the zones we can efficiently exploit the distributed database [11], [13].…”
Section: Distributed Databasesmentioning
confidence: 99%