The Performance Efficiency of the Virtual Hadoop Using Open Big Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899488" target="_blank" >RIV/00216275:25410/15:39899488 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Performance Efficiency of the Virtual Hadoop Using Open Big Data
Popis výsledku v původním jazyce
Public sector institutions nowadays maintain a large amount of data from various domains. This data represents a potential resource that businesses and citizens can use to enhance their own datasets or which can be used to develop new products and publicservices. Open data support the emergence and realization of the big data potential. While it enhances the volume and velocity of available data, its main impact is on the variety of data sources. This paper deals with the deployment of the Virtual Hadoop for the processing of the open big data idea in the public sector. The first part of this paper is based on the literature review of the cloud computing, the distributed processing of data, big / open / linked data and theirs sources on the web. The primary aim of the Virtual Hadoop deployment is to test the performance efficiency using open big data in order to obtain the direction of the future research. The last part then introduces the most important findings and recommendations.
Název v anglickém jazyce
The Performance Efficiency of the Virtual Hadoop Using Open Big Data
Popis výsledku anglicky
Public sector institutions nowadays maintain a large amount of data from various domains. This data represents a potential resource that businesses and citizens can use to enhance their own datasets or which can be used to develop new products and publicservices. Open data support the emergence and realization of the big data potential. While it enhances the volume and velocity of available data, its main impact is on the variety of data sources. This paper deals with the deployment of the Virtual Hadoop for the processing of the open big data idea in the public sector. The first part of this paper is based on the literature review of the cloud computing, the distributed processing of data, big / open / linked data and theirs sources on the web. The primary aim of the Virtual Hadoop deployment is to test the performance efficiency using open big data in order to obtain the direction of the future research. The last part then introduces the most important findings and recommendations.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration
ISSN
1211-555X
e-ISSN
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Svazek periodika
22
Číslo periodika v rámci svazku
33
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
13
Strana od-do
88-100
Kód UT WoS článku
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EID výsledku v databázi Scopus
2-s2.0-84929649247