NDLI: A fine-grained replacement strategy for XML query cache

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A fine-grained replacement strategy for XML query cache

Content Provider	ACM Digital Library
Author	Chen, Li Wang, Song Rundensteiner, Elke A. Hobbs, Ian Ryder, Burke Cash, Elizabeth
Abstract	Caching popular queries and reusing results of previously computed queries is one important query optimization technique, especially in modern distributed environments such as the WWW. Based on the recent proliferation of XML data and the emergence of the XQuery language, we are thus developing a query- based caching system for XQuery queries, called ACE-XQ. ACE-XQ applies innovative query containment and rewriting strategies to answer incoming user queries based on the cached XQueries, whenever possible, instead of accessing remote XML data sources.To manage the space of the cache, a straightforward application of traditional replacement strategies would correspond to removing a complete cached query and its derived XML document as a whole when space needs to be freed. This coarse granularity however does not match well with the typical access pattern of web searches where new queries often partially overlap with cached queries.In this paper, we propose a novel replacement strategy appropriate for such query-based XML caching systems. In particular, we collect user access statistics at the granularity of the XML path structure instead of the complete XML query regions. We then apply a more fine-grained replacement strategy that purges XML fragments off a cached region instead of the whole XML document and accordingly adjusts the query descriptor. This may better capture the user access patterns since more frequently used XML document fragments are likely to remain in the cache while other less beneficial parts are purged. This approach has been implemented in our ACE-XQ System. Preliminary experiment results illustrate the performance improvement achievable by our fine-grained replacement strategy over the one which replaces a whole XML view at a time when the cache size is relatively large.
Starting Page	76
Ending Page	83
Page Count	8
File Format	PDF
ISBN	1581135939
DOI	10.1145/584931.584947
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-11-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cache replacement strategy Semantic caching Xml Query rewriting Xquery Query containment
Content Type	Text
Resource Type	Article

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