Očitavanje atmosferskih podataka serverske sobe

undergraduate thesis

• Title (english): Server room environment values retrieval
• Author: Ines Andrijević
• Mentor: Boris Milašinović (mentor)
• Committee member: Boris Milašinović (predsjednik povjerenstva)
• Committee member: Ivana Nižetić Kosović (član povjerenstva)
• Committee member: Mario Brčić (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

Očitavanje atmosferskih podataka serverske sobe se može napraviti korištenjem dviju različitih arhitektura. U sklopu ovog rada su razvijene četiri skripte: SaljiPodatke.sh, SaljiDirektno.py, Konfiguriraj.sh i index.php. Obije inačice koriste SaljiPodatke.sh i Konfiguriraj.sh koje mijenjaju svoj sadržaj s obzirom na izbor inačice, dok su SaljiDirektno.py i index.php specifična rješenja pojedine inačice. Jedna arhitektura nudi jednostavnost i brzo rješenje, a druga je nešto kompleksnija, ali zbog toga nudi proširenja zahtjeva. Oba rješenja su spoj mnogih novih, jednostavnih i pristupačnih tehnologija s dobrom programskom i korisničkom podrškom. Mjerenja napravljena u sklopu rada pokazuju razlike u brzini izvođenja između dvije inačice rješenja što odlučuje o preporuci za korištenje prikladne inačice.

Abstract (english)

Server room environment values retrieval can be made using two types of architectures. As a part of this thesis, four scripts have been developed: SaljiPodatke.sh, SaljiDirektno.py, Konfiguriraj.sh and index.php. Both versions use scripts named SaljiPodatke.sh and Konfiguriraj.sh which change their contents in regards of the choice of the version, while SaljiDirektno.py and index.php represent specific solutions for each version. One architecture offers simplicity and a quick solution, while the other being a little more complex offers scalability. Both versions are a compound of simple and accessible technologies with a good program and user support. Measurements made in this thesis show differences in speed of execution between the two versions of the solution which decides on which version is to be recommended for usage.

• Keywords: Raspberry Pi; mjerenje temperature; MongoDB; bash; Python; PHP
• Keywords (english): Raspberry Pi; temperature measurement; MongoDB; bash; Python; PHP
• Language: croatian
• URN:NBN: urn:nbn:hr:168:249079
• 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 07:36:20