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Performance Impact of Migrating a Mining Traffic Management System To Docker

Software deployment is all of the activities that make a software system available for use. An examaple of such activites can be installations, updating and removing of software. Each deployment platform can differ in quality attributes such as performance, maintainability, etc. Docker, a deployment platform using container technology offering a more modular way of deployment has become increasingly popular over the past few years. The aim of the project is to find out how a deployment with Docker would affect the performance of a client­server application from the mining industry. Three scenarios were performed in a simulated environment for the existing as well as the potential deployment platform. Measures of round­trip time were made for both sets of the scenarios. Results show a general decrease in performance when running the application on Docker. This is especially seen in early stages of each scenario, where Docker in average has 15 times higher round­trip times than the existing platform. However, results gathered from each scenario suggests that while Docker does start much slower than the existing platform, in later stages of each scenarios, Docker manages to narrow the gap and be at most 1.14 times higher than the existing platform. In conclusion, while the deployment in which the existing platform is deployed on does out perform Docker, it still shows some promise and could potentially be a worthy option to look at for further work.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kau-86037
Date January 2021
CreatorsIssa, Mubdir
PublisherKarlstads universitet, Institutionen för matematik och datavetenskap (from 2013)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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