Term-partitioning is an efficient way to distribute a large inverted index. Two fundamentally
different query processing approaches are pipelined and non-pipelined. While the pipelined …

Pipelined query processing over a term-wise distributed inverted index has superior
throughput at high query multiprogramming levels. However, due to long query latencies this …

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 …

We describe data structures and an update strategy for the implementation of dynamic
inverted indexes in the context of a dedicated index engine for a distributed fulltext retrieval …

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 …

Inverted index is the mainstay technology for full-text retrieval, however, there exist some
problems such as low efficiency of index construction, updating and high Maintenance cost …

One of the greatest challenges in information retrieval is to develop an intelligent system for
user and machine interaction that supports users in their quest for relevant information. The …

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 …

Web-scale search engines deal with a volume of data and queries that forces them to make
use of an index partitioned across many machines. Two main methods of partitioning an …

Selective search with traditional partitioning have advantages over exhaustive search in
terms of total query cost. However, it can suffer from query latency and load imbalance for …