2000
DOI: 10.1145/335191.335391
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Synchronizing a database to improve freshness

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 difficult to maintain the copy "fresh," making it crucial to synchronize the copy effectively. We define two freshness metrics, change models of the underlying data, and synchronization policies. We analytically study how effective the various policies are. We also experimentally verify our analysis, based on data collected from 270 web sites for more t… Show more

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Cited by 167 publications
(146 citation statements)
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“…Our work follows closely on the work presented in [5]. Thus, we briefly summarize their notion of freshness for a local database ¡ consisting of…”
Section: Perceived Freshnessmentioning
confidence: 99%
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“…Our work follows closely on the work presented in [5]. Thus, we briefly summarize their notion of freshness for a local database ¡ consisting of…”
Section: Perceived Freshnessmentioning
confidence: 99%
“…It should be noted that as in [5], we initially assume all objects have the same fixed size and, therefore, take up the same amount of space in the mirror. In Section 5, we relax this assumption to determine the impact of object size.…”
Section: Perceived Freshnessmentioning
confidence: 99%
See 3 more Smart Citations