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Analiza zmogljivosti modeliranega računalniškega omrežja za potrebe prenosa sporočil o stanju porabe električnih števcev
ID Sovinec, Andraž (Author), ID Mraz, Miha (Mentor) More about this mentor... This link opens in a new window

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Abstract
V pričujoči diplomski nalogi obravnavamo problem zmogljivosti hipotetičnega računalniš-kega omrežja. S pojmom zmogljivost označimo maksimalno količino prometa, ki jo lahko neko računalniško omrežje prenese. Pri tem zahtevamo, da pri prenosih ni izgub in da so časi potovanja IP paketov po omrežju sprejemljivo majhni. Obravnavali smo problem električnih števcev, ki svoje meritve preko hrbteničnega omrežja pošiljajo strežniku. Na kratko predstavimo nekaj programskih okolij, ki nam omogočajo izgradnjo modela omrežja in izvajanje simulacij na njem. Zgrajeni model, nastavitve in delovanje vseh sestavnih komponent nato natančno predstavimo. Razložimo tudi tok različnih vrst podatkov po omrežju. Na modelu omrežja izvedemo štiri sklope simulacij: z usmerjevalniki z enim usmerjevalnim vezjem pri deterministični porazdelitvi medporodnih časov primarnih zahtev, z usmerjevalniki z več usmerjevalnimi vezji in deterministično porazdelitvijo medporodnih časov primarnih zahtev, z eksponentno porazdelitvijo medporodnih časov primarnih zahtev ter simulacije pri večji količini sekundarnega prometa. V prvem sklopu simulacij preverjamo število izgubljenih zahtev in dolžine čakalnih časov pri osnovnih nastavitvah. V drugem sklopu simulacij se s povečanjem števila usmerjevalnih vezij znebimo izgub zahtev ter zmanjšamo čakalne čase na usmerjevalnikih. V tretjem sklopu simulacij nato uvedemo eksponentno porazdelitev medporodnih časov primarnih zahtev, kar je boljši približek dinamike v realnih omrežjih. V zadnjem sklopu simulacij pri povečani intenzivnosti prihajanja sekundarnih zahtev opazujemo učikovitost omrežja pri večjih količinah prometa.

Language:Slovenian
Keywords:merjenje porabe električnih števcev, dostava sporočil do strežnika, čas potovanja sporočil preko omrežja, čas obdelave sporočila na strežniku
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2024
PID:20.500.12556/RUL-158177 This link opens in a new window
COBISS.SI-ID:197349891 This link opens in a new window
Publication date in RUL:28.05.2024
Views:295
Downloads:55
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Secondary language

Language:English
Title:Performance analysis of the modeled computer network for the needs of transmitting messages about the consumption status of electric meters
Abstract:
In this thesis, we consider the performance problem of a hypothetical computer network. We use the term capacity to denote the maximum amount of traffic that a computer network can carry. We require that there are no losses in transmissions and that the travel times of IP packets over the network are acceptably small. We have considered the problem of electricity meters that send their measurements to a server over a backbone network. We briefly present some software environments that allow us to build a network model and run simulations on it. The built model, the settings and the operation of all the components are then presented in detail. We also explain the flow of different types of data over the network. We perform four sets of simulations on the network model: with single-router routers with deterministic distribution of inter-arrival times of primary requests, with multi-router routers with deterministic distribution of inter-arrival times of primary requests, with exponential distribution of inter-arrival times of primary requests, and simulations with a large amount of secondary traffic. In the first set of simulations, we examine the number of lost requests and the length of waiting times at the baseline settings. In the second set of simulations, we get rid of request losses and reduce the waiting times at the routers by increasing the number of routing circuits. In the third set of simulations, we then introduce an exponential distribution of inter-arrival times of primary requests, which is a better approximation of the dynamics in real networks. In the last set of simulations, we observe the network efficiency at higher traffic volumes when the intensity of the arrival of secondary requests is increased.

Keywords:metering of electricity meter consumption, delivery of messages to the server, message travel time over the network, message processing time on the server

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