Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

In the ocean of Web data, Web search engines are the primary way to access content. As the
data is on the order of petabytes, current search engines are very large centralized systems …

This paper describes the parallel implementation of fastDNAml, a program for the maximum
likelihood inference of phylogenetic trees from DNA sequence data. Mathematical means of …

Continuous growth of the Web and user bases forces web search engine companies to
make costly investments on very large compute infrastructures. The scalability of these …

In a shared-nothing, distributed text retrieval system, queries are processed over an inverted
index that is partitioned among a number of index servers. In practice, the index is either …

Web search engines are often implemented as centralized systems. Designing and
implementing a Web search engine in a distributed environment is a challenging …

A web search engine often employs partition-aggregate architecture, where an aggregator
propagates a user query to all index serving nodes (ISNs) and collects the responses from …

Simulation and analysis have shown that selective search can reduce the cost of large-scale
distributed information retrieval. By partitioning the collection into small topical shards, and …

This article introduces an architecture for a document-partitioned search engine, based on a
novel approach combining collection selection and load balancing, called load-driven …

Information retrieval is the science concerned with the effective and efficient retrieval of
documents starting from their semantic content. It is employed to fulfill some information …