Big Data Process Advancement

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517343" target="_blank" >RIV/70883521:28140/17:63517343 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-57264-2_39" target="_blank" >http://dx.doi.org/10.1007/978-3-319-57264-2_39</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-57264-2_39" target="_blank" >10.1007/978-3-319-57264-2_39</a>

Result language

angličtina

Original language name

Big Data Process Advancement

Original language description

Information in this era is thriving to be maintained on a verity of sources. Data is available in different patterns and forms. Combining and processing all different types of datasets in a heterogeneity database is near to impossible, specifically, if the information is moving and changing on many different sources on a continuous basis. Information is represented in different modules and nowadays processing data from various sources can lead to critical risk assessment results. Big Data is a concept introduced to cover the use of different techniques serving the desired goals by processing the given informa‐ tion. Processing huge amount of data is a big challenge for a single machine to perform, in this paper we will discuss this idea and demonstrate a module of clustered machines to work as a single entity towards achieving the desired tasks while working on parallel cohesively. The idea of a solution to combine different machines of different specification processing and power in a single cluster and then distributing input data of various data fairly to most powerful processing and well-designed data type machine in the cluster. Distribution of input data and storing mechanism will depend on machine specification, data processing, the power of a machine, balance loading and data type. We present our suggestion solving method by using Event-B based approach, the Key features of Event-B are the use of set theory as a modelling notation and we propose using the Rodin modelling tool for Event-B that integrates modelling and proving.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CYBERNETICS AND MATHEMATICS APPLICATIONS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 2 Book Series: Advances in Intelligent Systems and Computing

ISBN

978-3-319-57264-2

ISSN

2194-5357

e-ISSN

neuvedeno

Number of pages

17

Pages from-to

379-396

Publisher name

Springer International Publishing AG

Place of publication

Cham

Event location

Zlín

Event date

Apr 26, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—