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powturbo
2015-06-04 14:32:00 +02:00
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@ -124,10 +124,10 @@ q/s: queries/second, ms/q:milliseconds/query
|ALL|3.57|5036.5|0.199|100| |ALL|3.57|5036.5|0.199|100|
###### Notes: ###### Notes:
- Search engines are spending 90% of the times in intersections when processing queries. - Search engines are spending 90% of the time in intersections when processing queries.
- Most search engines are using pruning strategies, caching popular queries,... to reduce the time for intersections and query processing. - Most search engines are using pruning strategies, caching popular queries,... to reduce the time for intersections and query processing.
- As indication, google is processing [40.000 Queries per seconds](http://www.internetlivestats.com/google-search-statistics/), - As indication, google is processing [40.000 Queries per seconds](http://www.internetlivestats.com/google-search-statistics/),
using [900.000 servers](https://www.cloudyn.com/blog/10-facts-didnt-know-server-farms/) for a total of [8 billions web pages](http://searchenginewatch.com/sew/study/2063479/coincidentally-googles-index-size-jumps). using [900.000 servers](https://www.cloudyn.com/blog/10-facts-didnt-know-server-farms/) for searching [8 billions web pages](http://searchenginewatch.com/sew/study/2063479/coincidentally-googles-index-size-jumps).
- Recent GOV2 experiments (best paper at ECIR 2014) [On Inverted Index Compression for Search Engine Efficiency](http://www.dcs.gla.ac.uk/~craigm/publications/catena14compression.pdf) using 8-core Xeon PC are reporting 1.2 seconds per query (for 1.000 Top-k docids). - Recent GOV2 experiments (best paper at ECIR 2014) [On Inverted Index Compression for Search Engine Efficiency](http://www.dcs.gla.ac.uk/~craigm/publications/catena14compression.pdf) using 8-core Xeon PC are reporting 1.2 seconds per query (for 1.000 Top-k docids).
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