EconPapers    
Economics at your fingertips  
 

Approximation queries for building energy-aware data warehouses on mobile ad hoc networks

Hsun Ming Lee, Francis A. Méndez Mediavilla, Enrique P. Becerra and James R. Cook

International Journal of Information and Decision Sciences, 2012, vol. 4, issue 1, 1-18

Abstract: This study proposes the use of approximate queries in order to improve the effectiveness and efficiency of data warehousing systems on mobile ad hoc networks (MANETs). In particular, the approach proposed shifts some computational cost, from the server to the client on the mobile network, thus increasing the power efficiency of the server. The study presents the concept of aggregate query approximation, goodness-of-fit of such approximations, and an evaluation of energy consumption.

Keywords: data warehousing; online analytical processing; OLAP; energy-aware servers; approximate queries; decision support systems; DSS; mobile ad hoc networks; MANETs; iterative proportional fitting; IPF; mobile networks; energy consumption. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=45125 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:4:y:2012:i:1:p:1-18

Access Statistics for this article

More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijidsc:v:4:y:2012:i:1:p:1-18