A Prediction-Based Query Processing Strategy in Mobile Commerce Systems

A Prediction-Based Query Processing Strategy in Mobile Commerce Systems

Chiang Lee, Chih-Horng Ke
Copyright: © 2001 |Pages: 13
DOI: 10.4018/jdm.2001070102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

The rapid advances and popularity of the Internet encourages the wide dissemination of electronic commerce. Various applications of electronic commerce, e.g., querying supermarket catalogs, purchasing products, booking a hotel room of a trip, etc., are rapidly increasing. Moreover, the emergence of mobile computing makes it possible for users to access information anywhere and at anytime. With the merging of these two technologies, millions of users in the near future could carry a mobile device requesting services through electronic commerce applications. While serving such a mobile user, the server should consider how to minimize the response time of the request. However, conventional strategies for query processing are no longer adequate in the mobile environment. This is mainly because the user may not be at the same site as where he/she issued the request when the result of the request is ready to be delivered to the user. The issue becomes more complicated when the user’s request involves data residing in multiple data sources. This paper proposes some strategies for query processing in a mobile commerce environment. All the strategies are presented, along with a cost analysis as the theoretical basis for the support of our design. Through the analysis of each strategy, we find the weakness of the strategy and improve it by a new design. Finally, the performances of all strategies are studied and compared to find the performance difference of the strategies.

Complete Article List

Search this Journal:
Reset
Volume 35: 1 Issue (2024)
Volume 34: 3 Issues (2023)
Volume 33: 5 Issues (2022): 4 Released, 1 Forthcoming
Volume 32: 4 Issues (2021)
Volume 31: 4 Issues (2020)
Volume 30: 4 Issues (2019)
Volume 29: 4 Issues (2018)
Volume 28: 4 Issues (2017)
Volume 27: 4 Issues (2016)
Volume 26: 4 Issues (2015)
Volume 25: 4 Issues (2014)
Volume 24: 4 Issues (2013)
Volume 23: 4 Issues (2012)
Volume 22: 4 Issues (2011)
Volume 21: 4 Issues (2010)
Volume 20: 4 Issues (2009)
Volume 19: 4 Issues (2008)
Volume 18: 4 Issues (2007)
Volume 17: 4 Issues (2006)
Volume 16: 4 Issues (2005)
Volume 15: 4 Issues (2004)
Volume 14: 4 Issues (2003)
Volume 13: 4 Issues (2002)
Volume 12: 4 Issues (2001)
Volume 11: 4 Issues (2000)
Volume 10: 4 Issues (1999)
Volume 9: 4 Issues (1998)
Volume 8: 4 Issues (1997)
Volume 7: 4 Issues (1996)
Volume 6: 4 Issues (1995)
Volume 5: 4 Issues (1994)
Volume 4: 4 Issues (1993)
Volume 3: 4 Issues (1992)
Volume 2: 4 Issues (1991)
Volume 1: 2 Issues (1990)
View Complete Journal Contents Listing