Web search engines have to deal with a rapidly increasing amount of information, high
query loads and tight performance constraints. The success of a search engine depends on …

Query response times within a fraction of a second in Web search engines are feasible due
to the use of indexing and caching techniques, which are devised for large text collections …

Due to the rapid growth in the size of the web, web search engines are facing enormous
performance challenges. The larger engines in particular have to be able to process tens of …

Major web search engines answer thousands of queries per second requesting information
about billions of web pages. The data sizes and query loads are growing at an exponential …

The inverted index is the main data structure used by all the major search engines. Search
engines build an inverted index on their collection to speed up query processing. As the size …

Web search engines need to provide high throughput and short query latency. Recent
results show that pipelined query processing over a term-wise partitioned inverted index …

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 …

Large web search engines have to answer thousands of queries per second in interactive
response time. Due to the sizes of the data sets involved, often in the range of multiple …

Distributed search engines based on geographical partitioning of a central Web index
emerge as a feasible solution to the immense growth of the Web, user bases, and query …

Search engines are exceptionally important tools for accessing information in today's world.
In satisfying the information needs of millions of users, the effectiveness (the quality of the …