Maintaining Temporal Coherency of Virtual Warehouses
Raghav Srinivasan, Chao Liang and Krithi Ramamritham
To appear at The 19th IEEE Real-Time Systems Symposium (RTSS98),
Madrid, Spain, December 2-4, 1998
Abstract
In Electronic Commerce applications such as stock trading, there is a
need to make decisions based on information collected from various
sources. Many of these
sources are accessible from the World Wide Web. Because the
information such as stock prices keep changing, the web sources must
be queried continually to
maintain temporal coherency of the data in the virtual warehouse
thereby avoiding decisions based on stale information. However,
because network infrastructure
has failed to keep pace with ever growing Web traffic, the frequency
of contacting Web servers must be kept to a minimum. This paper
discusses the maintenance of
temporal coherency of data in a virtual warehouse, using stock
trading data as the motivating example.