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Methods of Information Extraction
Adamček, Adam ; Smrž, Pavel (referee) ; Kouřil, Jan (advisor)
The goal of information extraction is to retrieve relational data from texts written in natural human language. Applications of such obtained information is wide - from text summarization, through ontology creation up to answering questions by QA systems. This work describes design and implementation of a system working in computer cluster which transforms a dump of Wikipedia articles to a set of extracted information that is stored in distributed RDF database with a possibility to query it using created user interface.
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GridEngine Reporting Tool
Rožek, František ; Chalupníček, Kamil (referee) ; Kašpárek, Tomáš (advisor)
The aim of this work is to build a tool that will reflect the utilization of the computing cluster, built on Grid Engine technology. Data are processed using PHP and Shell scripts and then stored in MySQL, or RRD databases. The work created a system that handles huge amounts of data and provides a comprehensive view on the utilization of the entire cluster, but also its specific components, or statistics of individual users. Created solution provides current and long-term data. The result of this work allows you to watch computing cluster from a single tool, which was not possible before.
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Server clustering techniques
Čech, Martin ; Polívka, Michal (referee) ; Pelka, Tomáš (advisor)
The work is given an analysis of Open Source Software (further referred as OSS), which allows use and create computer clusters. It explored the issue of clustering and construction of clusters. All installations, configuration and cluster management have been done on the operating system GNU / Linux. Presented OSS makes possible to compile a storage cluster, cluster with load distribution, cluster with high availability and computing cluster. Different types of benchmarks was theoretically analyzed, and practically used for measuring cluster’s performance. Results were compared with others, eg. the TOP500 list of the best clusters available online. Practical part of the work deals with comparing performance computing clusters. With several tens of computational nodes has been established cluster, where was installed package OpenMPI, which allows parallelization of calculations. Subsequently, tests were performed with the High Performance Linpack, which by calculation of linear equations provides total performance. Influence of the parallelization to algorithm PEA was also tested. To present practical usability, cluster has been tested by program John the Ripper, which serves to cracking users passwords. The work shall include the quantity of graphs clarifying the function and mainly showing the achieved results.
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GridEngine Reporting Tool
Rožek, František ; Chalupníček, Kamil (referee) ; Kašpárek, Tomáš (advisor)
The aim of this work is to build a tool that will reflect the utilization of the computing cluster, built on Grid Engine technology. Data are processed using PHP and Shell scripts and then stored in MySQL, or RRD databases. The work created a system that handles huge amounts of data and provides a comprehensive view on the utilization of the entire cluster, but also its specific components, or statistics of individual users. Created solution provides current and long-term data. The result of this work allows you to watch computing cluster from a single tool, which was not possible before.
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|
|
Methods of Information Extraction
Adamček, Adam ; Smrž, Pavel (referee) ; Kouřil, Jan (advisor)
The goal of information extraction is to retrieve relational data from texts written in natural human language. Applications of such obtained information is wide - from text summarization, through ontology creation up to answering questions by QA systems. This work describes design and implementation of a system working in computer cluster which transforms a dump of Wikipedia articles to a set of extracted information that is stored in distributed RDF database with a possibility to query it using created user interface.
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|
|
Server clustering techniques
Čech, Martin ; Polívka, Michal (referee) ; Pelka, Tomáš (advisor)
The work is given an analysis of Open Source Software (further referred as OSS), which allows use and create computer clusters. It explored the issue of clustering and construction of clusters. All installations, configuration and cluster management have been done on the operating system GNU / Linux. Presented OSS makes possible to compile a storage cluster, cluster with load distribution, cluster with high availability and computing cluster. Different types of benchmarks was theoretically analyzed, and practically used for measuring cluster’s performance. Results were compared with others, eg. the TOP500 list of the best clusters available online. Practical part of the work deals with comparing performance computing clusters. With several tens of computational nodes has been established cluster, where was installed package OpenMPI, which allows parallelization of calculations. Subsequently, tests were performed with the High Performance Linpack, which by calculation of linear equations provides total performance. Influence of the parallelization to algorithm PEA was also tested. To present practical usability, cluster has been tested by program John the Ripper, which serves to cracking users passwords. The work shall include the quantity of graphs clarifying the function and mainly showing the achieved results.
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