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master's thesis
Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:789232
Barbarić, Tomislav
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Barbarić, T. (2024). Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:789232

Barbarić, Tomislav. "Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:789232

Barbarić, Tomislav. "Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:789232

Barbarić, T. (2024). 'Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:789232

Barbarić T. Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 March 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:789232

T. Barbarić, "Aplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:789232

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Metadata
TitleAplikacija za praćenje programskog opterećenja klastera računala u stvarnom vremenu
Title (english)Application for Real-time Monitoring of Computing Cluster Workload
AuthorTomislav Barbarić
MentorZdravko Krpić (mentor)
Committee memberZdravko Krpić (predsjednik povjerenstva)
Committee memberGoran Martinović (član povjerenstva)
Committee memberIvica Lukić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2024-10-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U računalnim klasterima, pravovremeno praćenje programskog opterećenja ključno je za održavanje stabilnosti i optimizaciju resursa, no postojeća rješenja često zahtijevaju kompleksne postavke i dodatne agente. Ovaj rad bavi se razvojem aplikacije za praćenje programskog opterećenja računalnih klastera u stvarnom vremenu, što je ključan zadatak u održavanju optimiziranosti i performansi računalnih klastera. U radu su istražena rješenja poput Ganglia, Prometheus i Zabbix, a identificirani su... More njihovi prednosti i nedostaci, kao što je potreba za dodatnim agentima. Izrađeno programsko rješenje omogućuje nadzor ključnih resursa računalnih klastera, uključujući procesore, memoriju, diskove i mrežu, bez potrebe za instaliranjem dodatnih agenata na pojedinačne čvorove. Korištenjem SSH protokola, aplikacija prikuplja podatke u stvarnom vremenu, dok vizualizacija prikupljenih podataka omogućava administratorima brz uvid u stanje sustava. Iako aplikacija uvodi značajan overhead ovisno o intervalu prikupljanja podataka, njegova jednostavnost implementacije i preciznost podataka čini ga prikladnim za manje i jednostavnije računalne klastere, poput klastera jednopločnih računala ili klastera namijenjenih edukativnim svrhama. Rješenje je dizajnirano za jednostavne nadogradnje i optimizacije, osiguravajući dugoročnu skalabilnost i prilagodljivost infrastrukturi klastera. Less
Abstract (english)
Real-time monitoring of computational load is essential for maintaining stability and optimizing resources in computer clusters. However, existing solutions often require complex configurations and additional agents. This thesis focuses on the development of a real-time monitoring application for computer cluster loads, a critical task for maintaining stability and performance. The study analyzes current solutions, such as Ganglia, Prometheus, and Zabbix, highlighting their advantages and ... More drawbacks, like the need for agent installation. The developed software solution allows for the monitoring of key computer cluster resources, including processors, memory, disks, and network, without the need for installing additional agents on individual nodes. By utilizing the SSH protocol, the application collects real-time data, providing system administrators with a clear overview of system status through visualizations. Although the solution introduces some overhead depending on the data collection interval, its ease of implementation and data accuracy make it well-suited for smaller and simpler clusters, such as single-board computer clusters or educational environments. The system is designed to support future upgrades and optimizations, ensuring long-term scalability and adaptability to changes in computer cluster infrastructure. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:789232
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2024-10-18 06:49:04
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