| Publisher | National Research Council | ||
|---|---|---|---|
| Format | 271.3KB PDF | Date added | 02 May 2007 |
| Topics | Load Balancing, Network Administration | ||
| Downloads | 6 | ||
To address the rapid growth of the Internet, modern Web search engines have to adopt distributed organizations, where the collection of indexed documents is partitioned among several servers, and query answering is performed as a parallel and distributed task. Collection selection can be a way to reduce the overall computing load, by finding a trade-off between the quality of results retrieved and the cost of solving queries. This paper analyzes the relationship between the collection selection strategy, the effect on load balancing and on the caching subsystem, by exploring the design-space of a distributed search engine based on collection selection.
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