National Repository of Dissertations in Serbia
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrilic)
    • Serbian (Latin)
  • Login
View Item 
  •   NaRDuS home
  • Универзитет у Новом Саду
  • Технички факултет Михајло Пупин, Зрењанин
  • View Item
  •   NaRDuS home
  • Универзитет у Новом Саду
  • Технички факултет Михајло Пупин, Зрењанин
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Metode i postupci ubrzavanja operacija i upita u velikim sistemima baza i skladišta podataka (Big Data sistemi)

The methods and procedures for accelerating operations and queries in large database systems and data warehouses (big data systems )

Thumbnail
2016
Disertacija13336.pdf (8.745Mb)
IzvestajKomisije13336.pdf (4.793Mb)
Author
Ивковић, Јован
Mentor
Radulovic, Biljana
Committee members
Dobrilović, Dalibor
Kazi, Zoltan
Brtka, Eleonora
Veljović, Alempije
Radulovic, Biljana
Metadata
Show full item record
Abstract
Predmet istraživanja ove doktorske disertacije je mogućnost uspostavljanja modela Big Data sistema sa pripadajućom softversko –  hardverskom arhitekturom za podršku senzorskim mrežama i IoT uređajima. Razvijeni model počiva na energetsko efikasnim, heterogenim, masovno paralelizovaim SoC hardverskim platformama, uz podršku softverske aplikativne arhitekture (poput OpenCL) za unifikovan rad. Pored aktuelnih hardverskih, softverskih i mrežnih računarskih tehnologija i arhitektura namenjenih za rad podkomponenata modelovanog sistema u radu je predstavljen istorijski osvrt na njihov razvoj. Time je naglašena tendencija cikličnog kretanja koncepcijskih paradigmi računarstva, kroz svojevrstne ere centralizacije – decentralizacije computinga. U radu su predstavljene tehnologije i metode za ubrzavanje operacija  u bazama i skladištima podataka. Istražene su mogućnosti za bolju pripremu Big Data informacionih sistema  koji treba da zadovolje potrebe  novo najavljene informatičke revolucije opšt...e primene računarstva tzv. Ubiquitous computing-a i Interneta stvari (IoT).

The research topic of this doctoral thesis is the possibility of establishing a model for Big Data System with corresponding software-hardware architecture to support sensor networks and IoT devices.  The developed model is based on energy efficient, heterogeneous, massively parallelized SoC hardware platforms, with the support of software application architecture. (Such as an open CL) for unified operation.  In addition to current hardware, software and network computing technologies, and architecture intended to operate subcomponents of the system modeled in this paper is presented as an historical overview of their development.  Which emphasizes the tendency of the cyclic movement of the conceptual paradigm of computing, through the unique era of centralization/decentralization of computing. The thesis presents the technology and methods to accelerate operations in databases and data warehouses. We also investigate the possibilities for a better preparation of Big Data information s...ystems to meet the needs of the newly announced IT revolution in the announced general application of computing called Ubiquitous computing and the Internet of Things (IoT).

Faculty:
University of Novi Sad, Technical Faculty Mihajlo Pupin, Zrenjanin
Date:
29-09-2016
Keywords:
Informacioni sistemi / Computer systems / information systems / Data Base and Data Warehouses / computer networks / Internet of Things and sensor networks / software architecture of massive parallelized systems / General-Purpose Computation on Graphics Procesing Unit / microcontrollers and sensor networks / historical development of computer and Data Base systems / arhitecture of Big Data systems / Cloud Computing / computer networks infrastructure. / baze i skladišta podataka / računarski sistemi / računarske mreže / senzorske mreže i internet stvari („Internet of things“) / softverska arhitektura masovno paralelizovanih sistema / generalno programabilni grafički akceleratori / mikrokontroleri i senzorski sistemi / istorijski razvoj računarskih sistema i baza podataka / arhitektura „BigData“ računarskih sistema / Cloud Computing / infrastruktura računarskih mreža.
[ Google Scholar ]
URI
http://nardus.mpn.gov.rs/handle/123456789/8683
http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146605695384137.pdf?controlNumber=(BISIS)101176&fileName=146605695384137.pdf&id=6031&source=NaRDuS&language=sr
http://www.cris.uns.ac.rs/record.jsf?recordId=101176&source=NaRDuS&language=sr
http://www.cris.uns.ac.rs/DownloadFileServlet/IzvestajKomisije146605697236070.pdf?controlNumber=(BISIS)101176&fileName=146605697236070.pdf&id=6032&source=NaRDuS&language=sr

Related items

Showing items related by title, author, creator and subject.

  • Upravljanje tokovima aktivnosti u distributivnom menadžment sistemu / Workflow management system for DMS 

    Nedić, Nemanja (University of Novi Sad, Faculty of Technical Science, 24-02-2016)
  • Adaptibilna primjena AES algoritma kod savremenih operativnih sistema / Adaptive implementation of the AES algorithm in modern operating systems 

    Damjanović, Boris S. (University of Belgrade, Faculty of Organizational Sciences, 13-07-2016)
  • Efikasnost i efektivnost, kognitivni stil i emocionalne reakcije korisnika s obzirom na model podataka koji stoji u osnovi kompjuterskog interfejsa / Users' efficiency, effectiveness, cognitive style and emotional reactions to computer interface based on different data model 

    Kovačević, Ivana Z. (University of Belgrade, Faculty of Philosophy, 25-10-2013)

DSpace software copyright © 2002-2015  DuraSpace
About NaRDus | Contact us

OpenAIRERCUBRODOSTEMPUS
 

 

Browse

All of DSpaceUniversities & FacultiesAuthorsMentorCommittee membersSubjectsThis CollectionAuthorsMentorCommittee membersSubjects

DSpace software copyright © 2002-2015  DuraSpace
About NaRDus | Contact us

OpenAIRERCUBRODOSTEMPUS