Z. Lu and K. McKinley. Partial collection replication versus caching for information retrieval systems. In Proc. of the 23rd Annual SIGIR Conf. on Research and Development in Information Retrieval, pages 248--255, 2000. Home/Search Document Details and Download
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ODISSEA: A Peer-to-Peer Architecture for Scalable.. - Suel, Mathur, Wu, .. (2003) (13 citations) (Correct)
.... execution in IR and search engines, we refer to [3, 5, 51] and for issues in parallel search engine architecture we refer to [7, 8, 28, 41] Discussions and comparisons of local and global index partitioning schemes and the resulting query performance on parallel architectures are given, e.g. in [4, 12, 25, 31, 32, 48]. There has been a lot of recent interest in the pruning techniques of Fagin et. al [17, 19] see also [18] for a survey and [13] for early related ideas. Most of the interest has been focused on multimedia and meta search scenarios, and we are not aware of previous applications in a peer to peer ....
Z. Lu and K. McKinley. Partial collection replication versus caching for information retrieval systems. In Proc. of the 23rd Annual SIGIR Conf. on Research and Development in Information Retrieval, pages 248--255, 2000.
Partial Replication in the Database State Machine - Sousa, Pedone, Oliveira, Moura (2001) (3 citations) (Correct)
....or even required, by environments exhibiting strong access locality. Representative examples of such settings are geographically dispersed information systems with location dependent database sites (e.g. banking, public administration) and largescale distributed information retrieval systems [13]. Our approach is to extend the Database State Machine protocol to handle partial replication while preserving its replication characteristics, namely synchronous replication strategy and the deferred update technique. Synchronous replication strategies extend the atomicity concept of ....
Z. Lu and K. McKinley. Partial collection replication versus caching for information retrieval systems. In The ACM International Conference on Research and Development in Information Retrieval, Athens, Greece, July 2000.
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