Active Replication and Update of Content in Electronic Commerce

Abstract

:This paper describes a strategy for actively replicating and updating content for electronic commerce. Active replication and updating of content is achieved by intelligent agents (IA) using a time-invariant fragmentation approach to partitioning and replicating data in a distributed computing environment. Taking into account the time-sensitivity property of data, lAs derive time-invariant fragments for their respective nodes from the query history. A time-invariant fragment (TIF) is that portion of the database whose values do not change during a specified time interval. The algorithm that IAs use in creating TI Fs for each node, for a given time interval, is presented. The active replication approach is compared with three other approaches, full-replication, non replication, and materialized view, in terms of data transmission costs. Results indicate that the active approach can be most effective for electronic commerce because of the high percentage of modification queries, the large size of the network, and the great number of transactions.