Goran Martinovic
orcid.org/0000-0002-7469-6018
; Faculty of Electrical Engineering, J. J. Strossmayer University of Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia
Bruno Petrisevac
; Faculty of Electrical Engineering, J. J. Strossmayer University of Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia
Drago Zagar
; Faculty of Electrical Engineering, J. J. Strossmayer University of Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia
APA 6th Edition Martinovic, G., Petrisevac, B. i Zagar, D. (2010). Nadzor i mjerenje performansi računalne mreže. Tehnički vjesnik, 17 (3), 317-326. Preuzeto s https://hrcak.srce.hr/59644
MLA 8th Edition Martinovic, Goran, et al. "Nadzor i mjerenje performansi računalne mreže." Tehnički vjesnik, vol. 17, br. 3, 2010, str. 317-326. https://hrcak.srce.hr/59644. Citirano 06.03.2021.
Chicago 17th Edition Martinovic, Goran, Bruno Petrisevac i Drago Zagar. "Nadzor i mjerenje performansi računalne mreže." Tehnički vjesnik 17, br. 3 (2010): 317-326. https://hrcak.srce.hr/59644
Harvard Martinovic, G., Petrisevac, B., i Zagar, D. (2010). 'Nadzor i mjerenje performansi računalne mreže', Tehnički vjesnik, 17(3), str. 317-326. Preuzeto s: https://hrcak.srce.hr/59644 (Datum pristupa: 06.03.2021.)
Vancouver Martinovic G, Petrisevac B, Zagar D. Nadzor i mjerenje performansi računalne mreže. Tehnički vjesnik [Internet]. 2010 [pristupljeno 06.03.2021.];17(3):317-326. Dostupno na: https://hrcak.srce.hr/59644
IEEE G. Martinovic, B. Petrisevac i D. Zagar, "Nadzor i mjerenje performansi računalne mreže", Tehnički vjesnik, vol.17, br. 3, str. 317-326, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/59644. [Citirano: 06.03.2021.]
Sažetak Regardless of fast performance improvements in the field of network technologies and their pervasiveness, today’s computer-demanding and service-oriented applications require efficient management of networks. Besides monitoring collision, broadcast and errors, utilization measurement of a local commutated network was carried out by means of a software tool. Measurement was carried out at two different levels of artificially generated continuous workload and by varying workload caused by intensive use of network resources. In our experiments, the monitored network showed that it is resistant to collisions and errors, but also sensitive to workload dynamics characterized by utilization changes. These changes show certain regularity and periodicity and can be considered as a good behavior pattern of a network. The approach proposed enables prediction of accessibility of computer resources by their engagement in complex distributed computer environments.