Synchronizing a database to improve freshness
Top Cited Papers
- 16 May 2000
- proceedings article
- Published by Association for Computing Machinery (ACM)
- Vol. 29 (2) , 117-128
- https://doi.org/10.1145/342009.335391
Abstract
In this paper we study how to refresh a local copy of an autonomous data source to maintain the copy up-to-date. As the size of the data grows, it becomes more dicult to maintain the copy \fresh," making it crucial to synchronize the copy eectively. We dene two freshness metrics, change models of the underlying data, and synchronization policies. We analytically study how eective the various policies are. We also experimentally verify our analysis, based on data collected from 270 web sites for more than 4 months, and we show that our new policy improves the \freshness" very signicantly compared to current policies in use.Keywords
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