This work performs a thorough characterization and analysis of the open source Lucene search library. The article describes in detail the architecture, functionality, and micro-architectural behavior of the search engine, and investigates prominent online document search research issues. In particular, we study how intra-server index partitioning affects the response time and throughput, explore the potential use of low power servers for document search, and examine the sources of performance degradation ands the causes of tail latencies. Some of our main conclusions are the following: (a) intra-server index partitioning can reduce tail latencies but with diminishing benefits as incoming query traffic increases, (b) low power servers given ...
The commoditization of hardware, data center economies of scale, and Internet-scale workload growth ...
Web search engine companies require power-hungry data centers with thousands of servers to efficient...
The amount of data is continually growing and the ability to efficiently search through vast amounts...
The amount of available data has increased notably in the last few years, exposing scalability probl...
This article introduces an architecture for a document-partitioned search engine, based on a novel a...
The amount of content on the Internet is growing rapidly as well as the number of the online Interne...
The amount of content on the Internet is growing rapidly as well as the number of the online Interne...
In this poster we describe the development of a distributed search engine, referred to as Físréal, w...
Web search engine companies require power-hungry data cen- ters with thousands of servers to efficie...
In todays digital age, data is everything. Dealing with and accessing a lot of data is a common task...
Abstract: Transaction processing in organizations commonly use relational database, but big part of ...
Better system resource utilization for search engine clusters can result in significant benefits. By...
Cataloged from PDF version of article.Large-scale web search engines are composed of multiple data c...
Web search engines continuously crawl and index an immense number of Web pages to return fresh and r...
© 2021 IEEE.Search is one of the most popular and important web services. The inverted index is the ...
The commoditization of hardware, data center economies of scale, and Internet-scale workload growth ...
Web search engine companies require power-hungry data centers with thousands of servers to efficient...
The amount of data is continually growing and the ability to efficiently search through vast amounts...
The amount of available data has increased notably in the last few years, exposing scalability probl...
This article introduces an architecture for a document-partitioned search engine, based on a novel a...
The amount of content on the Internet is growing rapidly as well as the number of the online Interne...
The amount of content on the Internet is growing rapidly as well as the number of the online Interne...
In this poster we describe the development of a distributed search engine, referred to as Físréal, w...
Web search engine companies require power-hungry data cen- ters with thousands of servers to efficie...
In todays digital age, data is everything. Dealing with and accessing a lot of data is a common task...
Abstract: Transaction processing in organizations commonly use relational database, but big part of ...
Better system resource utilization for search engine clusters can result in significant benefits. By...
Cataloged from PDF version of article.Large-scale web search engines are composed of multiple data c...
Web search engines continuously crawl and index an immense number of Web pages to return fresh and r...
© 2021 IEEE.Search is one of the most popular and important web services. The inverted index is the ...
The commoditization of hardware, data center economies of scale, and Internet-scale workload growth ...
Web search engine companies require power-hungry data centers with thousands of servers to efficient...
The amount of data is continually growing and the ability to efficiently search through vast amounts...