Portada del libro de Query-Driven Indexing in Large-Scale Distributed Systems
Título del libro:

Query-Driven Indexing in Large-Scale Distributed Systems

Efficient query processing with distributed indexes

VDM Verlag Dr. Müller (2009-04-29 )

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ISBN-13:

978-3-639-15017-9

ISBN-10:
3639150171
EAN:
9783639150179
Idioma del libro:
Inglés
Notas y citas / Texto breve:
Efficient and effective search in large-scale data repositories requires complex indexing solutions deployed on a large number of servers. Commercial Web search engines already rely upon complex systems to be able to return relevant query results and keep processing times within the comfortable sub-second limit. Nevertheless, the exponential growth of the amount of content on the Web poses serious challenges with respect to scalability. Coping with these challenges requires novel indexing solutions that not only remain scalable but also preserve the search accuracy. In this work we introduce and explore the concept of query-driven indexing - an index construction strategy that uses caching techniques to adapt to the querying patterns expressed by users. We suggest to abandon the strict difference between indexing and caching, and to build a distributed indexing structure, or a distributed cache, such that it is optimized for the current query load. Our experimental and theoretical analysis shows that employing query-driven indexing is especially beneficial when the content is (geographically) distributed in a Peer-to-Peer network.
Editorial:
VDM Verlag Dr. Müller
Sitio web:
http://www.vdm-verlag.de
Por (autor):
Gleb Skobeltsyn
Número de páginas:
152
Publicado en:
2009-04-29
Stock:
Disponible
Categoría:
Informática, IT
Precio:
59.00 €
Palabras clave:
Large-Scale Systems, query-driven indexing, P2P, P2PIR, Information Retrieval, XML, Web search engines, Caching, index pruning

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