Programska potpora za prikupljanje nestrukturiranih podataka

undergraduate thesis

• Title (english): Software support for acquisition of unstructured data
• Author: Zvonimir Popovčić
• Mentor: Mario Žagar (mentor)
• Committee member: Mario Žagar (predsjednik povjerenstva)
• Committee member: Josip Knezović (član povjerenstva)
• Committee member: Ivana Bosnić (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

Abstract

Proučen je i analiziran postojeći programski sustav Hiperion i literatura vezana uz sustav. Sustav služi za prikupljanje i obradu nestrukturiranih podataka. Na temelju analize sustav je opisan i predložena je instalacija sustava na uređaj Raspberry Pi. U tu svrhu proučen je uređaj Raspberry Pi, te se došlo do zaključka kako je uređaj cijenom i dimenzijama povoljniji od postojećih infrastruktura. Sustav Hiperion koristi MongoDB bazu podataka te je bilo potrebno proučiti instalaciju posebne verzije baze prilagođene za Raspberry Pi uređaj. Primjećeno je kako spremanje podataka baze podataka na SD karticu može prouzročiti probleme zbog ograničenog broja pisanja na istu memorijsku lokaciju, te je odlučeno da će baza biti pohranjena u radnoj memoriji. Spremanje u radnu memoriju nam donosi problem ograničenja iskoristivog dijela radne memorije, te je podatke potrebno kontinuirano prebacivati na uređaj koji nam omogućava pohranu veće količine podataka. To ovim radom nije obuhvaćeno.

Abstract (english)

The existing Hyperion system and literature related to the system was studied and analyzed through this paper. The system is used for collecting and processing unstructured data. Based on the analysis, system has been described and installation of the system to Raspberry Pi device has been proposed. For this purpose, the Raspberry Pi device was studied and the conclusion was that device is better than existing infrastructure because of price and dimensions. Hyperion system uses MongoDB database and it was necessary to study the installation of a special version of database adapted for Raspberry Pi device. It has been observed that using the SD card as a database storage can cause problems because of the limited number of writing to the same memory location, and it was decided that the database would be stored in RAM. Storing data to the RAM brings the problem because the RAM memory has limited amount of useful space for storing data, so the data must be continually moved to a device that allows us to store large amount of data. That part is not covered in this paper.

• Keywords: kontinuirano prikupljanje podataka; sustav Hiperion; Raspberry Pi; MongoDB; radna memorija
• Keywords (english): continuous data collection; Hyperion system; Raspberry Pi; MongoDB; RAM
• Language: croatian
• URN:NBN: urn:nbn:hr:168:676544
• 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: 2018-02-06 11:23:24