Primerjava porabe energije med orkestracijskima platformama Kubernetes in Docker Swarm

Velikonja, Nejc (author), Ciglarič, Mojca (mentor), Pančur, Matjaž (comentor)

V zadnjih letih se povečuje potreba po zanesljivih, odzivnih in hitro posodobljenih aplikacijah, ki delujejo v oblaku in na robu omrežja. Za dosego teh ciljev se vse pogosteje uporabljajo vsebniki, ki omogočajo učinkovito, prenosljivo in dosledno izvajanje aplikacij. Upravljanje večjega števila vsebnikov pa zahteva uporabo platform za orkestracijo, kot sta Kubernetes in Docker Swarm. V magistrskem delu se osredotočimo na porabo energije orkestraciji sistemov. Na podlagi najpogostejših vrst obremenitev sistemov smo zasnovali testne primere, ki odražajo razlike med platformama. Analiziramo razlike med izvajanjem brez orkestracije platforme, izvajanjem na enem vozlišču in izvajanjem na delovnem vozlišču. Poskuse izvedemo na napravah z različnimi zmogljivostmi. Rezultat naloge je funkcionalen sistem za testiranje porabe energije in smernice, ki odražajo razlike med funkcionalnostjo in porabo energije orientacijskih sistemov.

• Language: Slovenian
• Keywords: poraba energije, orkerstracijske platforme, Docker Swarm, Kubernetes
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2025
• PID: 20.500.12556/RUL-177211
• COBISS.SI-ID: 262722307
• Publication date in RUL: 17.12.2025

Secondary language

• Language: English
• Title: Energy usage comparison of orchestration platforms Kubernetes and Docker Swarm

Abstract

The need for reliable, responsive, and rapidly updatable applications that run in the cloud and at the network edge has been increasing in recent years. To achieve these goals, containers are being used increasingly, as they enable efficient, portable, and consistent application execution. However, managing a large number of containers requires the use of orchestration platforms such as Kubernetes and Docker Swarm. This master’s thesis focuses on the energy consumption of orchestration systems. Based on the most common types of system workloads, we designed test cases that reflect the differences between the two platforms. We analyze the differences between running applications without an orchestration platform, running on a single node, and running on a worker node. The experiments are carried out on devices with varying capabilities. The result of the thesis is a functional system for testing energy consumption and a set of guidelines that highlight the differences between the functionality and energy usage of orchestration systems.

• Keywords: energy consumption, orchestration platforms, Kubernetes, Docker Swarm