Building B2B system using timestamp tree for data change detection in Low speed network environment 


Vol. 12,  No. 6, pp. 915-920, Dec.  2005
10.3745/KIPSTD.2005.12.6.915


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  Abstract

In this paper we expanded a existing web based B2B system to support users in low speed network. To guarantee shared data consistency between clients and a server, we proposed a method of data change detection by using a timestamp tree and the performance analysis of the proposed method was proved by a simulation. Under the worst condition that leaf nodes of a timestamp tree were changed uniform distribution, the simulation result showed that the proposed method was more efficient than a sequential detection until the percentage of changed nodes were below 15%. According to our observation, the monthly average of data change was below 7% on a web-based construction MRO B2B system of a company A from April 2004 to August 2004. Therefore the proposed method improved performance of data change detection in practice. The proposed method also reduced storage consumption in a server because it didn't require a server to store replicated data for every client.

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[IEEE Style]

S. I. Son and H. J. Kim, "Building B2B system using timestamp tree for data change detection in Low speed network environment," The KIPS Transactions:PartD, vol. 12, no. 6, pp. 915-920, 2005. DOI: 10.3745/KIPSTD.2005.12.6.915.

[ACM Style]

Sei Il Son and Heung Jun Kim. 2005. Building B2B system using timestamp tree for data change detection in Low speed network environment. The KIPS Transactions:PartD, 12, 6, (2005), 915-920. DOI: 10.3745/KIPSTD.2005.12.6.915.

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