Paralelno izvršavanje i analiza performansi na uređajima u Internetu stvari

master's thesis

• Title (english): Parallel execution and performance analysis on Internet of Things devices
• Author: Jan Roček
• Mentor: Gordan Ježić (mentor)
• Committee member: Gordan Ježić (predsjednik povjerenstva)
• Committee member: Ivana Podnar Žarko (član povjerenstva)
• Committee member: Mario Kušek (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-09, Croatia

Abstract

U ovom radu istražuje se implementacija paralelnog izvršavanja i analiza performansi na IoT uređajima koristeći STM32 mikrokontrolere i FreeRTOS operacijski sustav. Provedena su mjerenja potrošnje energije u različitim stanjima uređaja, kao što su stanje mirovanja, aktivan rad i komunikacija. Rezultati pokazuju da korištenje FreeRTOS-a uz tickless idle način rada može smanjiti potrošnju energije tijekom neaktivnih perioda. Također, smanjenje CPU clock-a rezultiralo je smanjenjem potrošnje energije tijekom aktivnih zadataka. Međutim, najveći utjecaj na potrošnju imaju periferije koje troše dodatnu energiju čak i kada nisu inicijalizirane. Budući rad trebao bi se usmjeriti na optimizaciju upravljanja greškama, komunikaciju unutar sustava, te dodatna istraživanja algoritama za raspodjelu resursa.

Abstract (english)

This thesis explores the implementation of parallel execution and performance analysis on IoT devices using STM32 microcontrollers and the FreeRTOS operating system. Energy consumption measurements were conducted in various states of the device, such as idle, active operation, and communication. The results demonstrate that using FreeRTOS with tickless idle mode can significantly reduce energy consumption during idle periods. Additionally, reducing the CPU clock frequency resulted in lower energy consumption during active tasks. However, the most significant impact on energy consumption comes from peripherals that draw additional power even when not initialized. Future work should focus on optimizing error handling, communication within the system, and further exploring resource allocation algorithms.

• Keywords: IoT; STM32; FreeRTOS; analiza performansi; potrošnja energije; paralelno izvršavanje; mikrokontroleri; STM32; MikroSDK; ARM
• Keywords (english): IoT; STM32; FreeRTOS; performance analysis; energy consumption; parallel execution; microcontrollers; STM32; MikroSDK; ARM
• Language: croatian
• URN:NBN: urn:nbn:hr:168:808351
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 22:00:35