Real-Time Databases Laboratory
Department of Computer Science
University of Massachusetts, Amherst

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


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.