Usporedba modela pohrane senzorskih podataka na lokalnom poslužitelju i u računalnom oblaku

undergraduate thesis

• Title (english): Comparison of models for sensor data storage on local server and cloud
• Author: Ivan Ivković
• Mentor: Branko Mikac (mentor)
• Committee member: Branko Mikac (predsjednik povjerenstva)
• Committee member: Matija Džanko (član povjerenstva)
• Committee member: Pavle Skočir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U današnjem svijetu ubrzano raste broj aplikacija koje obrađuju podatke
prikupljene s jednostavnih uređaja poput senzora. Prikupljeni podaci dolaze iz
različitih područja, kao što su financijska industrija, promet i e-zdravstvo. S obzirom
na veliku količinu podataka, postavlja se pitanje koji je najbolji način pohranjivanja i
obrade tih podataka te prikaza krajnjem korisniku. Kako bi takva moderna aplikacija u
globalnom svijetu bila dovoljno kvalitetna i konkurentna, potrebno je, između ostalog,
odabrati pravi model baze podataka. Najrašireniji je relacijski model, a sve je više u
upotrebi i noviji, nerelacijski model baza podataka. Jedna od važnih stavki prilikom
usporedbe ovih dvaju modela su njihove performanse. U ovom se radu provode
usporedbe performansi prilikom čitanja i pisanja jednostavnih senzorskih podataka u
relacijsku, SQL bazu podataka i nerelacijsku, MongoDB bazu podataka. Baze
podataka nalaze se na lokalnom poslužitelju, a pristup bazama ostvaruje se
korištenjem funkcionalnosti razvijenih u programskom jeziku Java Rezultati
usporedbe ne mogu jednoznačno odrediti koji je model pohrane bolji, ali nude uvid u
razlike u performansama ovih dvaju modela.

Abstract (english)

In today's world, the number of applications that process data gathered from
simple devices like sensors increasingly grows. Stored data comes from different
areas such as financial industry, traffic and e-health. The question is what would be
the best way to store, process and present large amount of data to the end user. In
order for such a mobile application to meet high standards and be competitive, it is
required, among other things, to have the right database model. The most used data
model is the relational model, but a newer, non-relational model is becoming more
and more widespread. One of the important factors in database model comparison is
their performance. In this work, performance tests of relational, SQL database and
non-relational, MongoDB database are being discussed while executing read and
write operations of simple sensor data. Databases are located on local servers and
are being accessed by functionalities developed in Java programming language.
Comparison results cannot directly be used to determine which data model is better
but they provide an insight into performance differences of these two models.

• Keywords: baza podataka; podaci; senzor; model; usporedba performansi; SQL; MongoDB; mjerenje; Java
• Keywords (english): database; data; sensor; model; performance comparison; SQL; MongoDB; measurement; Java
• Language: croatian
• URN:NBN: urn:nbn:hr:168:396638
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-19 14:00:47