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master's thesis
Distribuirano računanje pomoću programskog jezika Python
Zagreb: University of Zagreb, Faculty of Science, 2018. urn:nbn:hr:217:657008
Barišić, Martina
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Barišić, M. (2018). Distribuirano računanje pomoću programskog jezika Python (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:657008

Barišić, Martina. "Distribuirano računanje pomoću programskog jezika Python." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:657008

Barišić, Martina. "Distribuirano računanje pomoću programskog jezika Python." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:657008

Barišić, M. (2018). 'Distribuirano računanje pomoću programskog jezika Python', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:217:657008

Barišić M. Distribuirano računanje pomoću programskog jezika Python [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2018 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:657008

M. Barišić, "Distribuirano računanje pomoću programskog jezika Python", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:217:657008

Metadata
TitleDistribuirano računanje pomoću programskog jezika Python
AuthorMartina Barišić
MentorRobert Manger (mentor)
Committee memberRobert Manger (predsjednik povjerenstva)
Committee memberGoranka Nogo (član povjerenstva)
Committee memberGoran Muić (član povjerenstva)
Committee memberFilip Najman (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2018-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovom radu proučavane su distribuirane aplikacije u programskom jeziku Python. Distribuirani, pa i paralelni sustavi, danas su široko primjenjivi. Prikazan je Amdahlov zakon koji govori da uložen napor u paralelizaciju postojećeg algoritma nadmašuje dobitke u performansama. Također su proučavani pojmovi višedretvenosti, višestrukih procesa i višeprocesorskih redova te neke njihove značajke i primjene. Pokazano je i kako se uspostavlja Celery pomoću kojeg je moguće razvijati distribuirane aplikacije i navedene su dvije njegove alternative. Na kraju rada, proučavane su dvije distribuirane aplikacije. Pokazalo se kako se vrši komunikacija između pojedinih dijelova aplikacija u određenim situacijama te što je potrebno promijeniti da rade na više računala. Praćeno je izvršavanje druge aplikacije (distribuirano sortiranje) te je zaključeno da, na velikom skupu podataka, bolje vrijeme izvršavanja ima distribuirana aplikacija sortiranja u odnosu na algoritam sortiranja koji se izvršavao na lokalnom računalu.
Abstract (english)
In this work, distributed applications are studied in the Python programming language. Distributed and parallel systems are today widely applied. Amdahl’s law is introduced, which states that the effort to parallelize the existing algorithm outweighs performance gains. Also, multiple threads, multiple processes and multiprocess queues are studied and some of their features and applications. It was also demonstrated how Celery is configured, by which it is possible to develop distributed applications and two of its alternatives are listed. At the end of the work, two distributed applications were studied. Communication between specific parts of the application in certain situations has been shown and what needs to be changed to work on multiple computers. The other application was executed (distributed sorting) and it was concluded that, on a large data set, better execution time is achieved by the distributed sorting application compared to the sorting algorithm executed on a local computer.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:657008
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-03-04 10:35:21