Big Data Movement: A Challenge in Data Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097012" target="_blank" >RIV/61989100:27240/15:86097012 - isvavai.cz</a>
Alternative codes found
RIV/67985815:_____/15:00450861 RIV/00216208:11320/15:10282546 RIV/61989100:27740/15:86097012
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-11056-1_2" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-11056-1_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11056-1_2" target="_blank" >10.1007/978-3-319-11056-1_2</a>
Alternative languages
Result language
angličtina
Original language name
Big Data Movement: A Challenge in Data Processing
Original language description
This chapter discusses modern methods of data processing, namely its paralleliza-tion with attention to the bio-inspired methods. Explanation how selected evolu-tionary algorithms can do synthesis of novel methods are demonstrated on the astrophysical large data sets. Such approach is now characteristic for so called Big Data and Big Analytics. First, we describe some new database architectures sup-porting Big Data storage and processing. We discuss also Big Data problems, i.e. their sources, characteristics, processing, and analyzing. Parallelism in the service of data processing is introduced in detail. We show how new technologies force programmers to consider parallel processing not only in a distributive way (hori-zontal scaling), but also within each server (vertical scaling). The chapter also dis-cusses in large interdisciplinary intersection between astrophysics and computer science, i.e., so called astroinformatics with rich set of data sources and examples. The last part of the chapter is devoted to selected bio-inspired methods and their use on simple model synthesis from astrophysical Big Data collection. Some sug-gestion on how new algorithms can be synthesized by bio-inspired methods are mentioned as well as its possible use Big Data processing. We also give a brief overview on usability areas of the algorithms and end with some general remarks of the limits of computing.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Big Data in Complex Systems
ISBN
978-3-319-11055-4
Number of pages of the result
41
Pages from-to
29-69
Number of pages of the book
500
Publisher name
Springer Verlag
Place of publication
Heidelberg
UT code for WoS chapter
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