The performance of parallel query processing in a cluster of index servers is crucial for
modern web search systems. In such a scenario, the response time basically depends on …

Abstract Large-scale Parallel Web Search Engines (WSEs) needs to adopt a strategy for
partitioning the inverted index among a set of parallel server nodes. In this paper we are …

In this paper we study three basic and key issues related to Web query processing: load
balance, broker behavior, and performance by individual index servers. Our study, while …

For hundreds of years the mankind has organized information in order to make it more
accessible to the others. The last media born to globally provide information is the Internet …

In the last decade, search engines became an integral part of our lives. The current state-of-
the-art in search engine technology relies on parallel text retrieval. Basically, a parallel text …

Shared-nothing, parallel text retrieval systems require an inverted index, representing a
document collection, to be partitioned among a number of processors. In general, the index …

Search engines use replication and distribution of large indices across many query servers
to achieve efficient retrieval. Under high query load, queries can be scheduled to replicas …

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 …

There are several ideas being used today for Web information retrieval, and specifically in
Web search engines. The PageRank algorithm is one of those that introduce a content …

We review a variety of techniques to improve efficiency in information retrieval. Given the
increasing volumes of data that are available electronically, understanding and using such …