BUILDING A TEST AND MONITORING MODEL IN A MICROSERVICE INFRASTRUCTURE
DOI:
https://doi.org/10.32782/KNTU2618-0340/2021.4.2.1.16Keywords:
container, microservice architecture, orchestration, streaming service, media service platform, WebRTC, Kubernetes, Ansible, test automationAbstract
The technique of creating an infrastructure is considered, which uses the functions of testing and monitoring media service systems and helps to form criteria for their selection or construction. The peculiarity of the technique lies in placing the service under investigation in a virtual container and examining its behavior depending on the load. Kubernetes was chosen as the platform for managing containers. Only open source projects were used as individual elements. This gives accessibility and, if necessary, to correct the code or supplement it with new functionality. The experiment results showed that the chosen container orchestration platform (Kubernetes) scales well to manage any existing open source media services. This gives accessibility and, if necessary, to correct the code or supplement it with new functionality. The experiment results showed that the chosen container orchestration platform (Kubernetes) scales well to manage any existing open source media services. Studies have also shown that the use of WebRTC technology can reduce the load on the server side of media services. Using the automation of configurations of the media service infrastructure allows you to install both individual components and its entirety. The automation was implemented using Ansible and bash scripting. The result of the implementation of automation of installation and configuration of system components is an easy repeatability of the infrastructure. The infrastructure required for testing was deployed in its own environment, which eliminates such disadvantages as dependence on a service provider, as well as its control and imposed restrictions. In case of emergency, access to media services can be organized locally, without access to the Internet at the global or national level. The blockiness of the proposed infrastructure makes it flexible in use. Thus, the proposed methodology makes it possible to assess the possibility of using this media service platform for a given load and a specific configuration of the hardware platform. The proposed methodology makes it possible to formulate requirements for the required hardware platform for the functioning of specific media service platforms.
References
BaiX., Li M., Huang X., Tsai WT., Gao J. Vee@Cloud: The virtual test lab on the cloud. IEEE 8th international workshop on automation of software test (AST). 2013. Pp. 15-18. DOI: 10.1109/IWAST.2013.6595785
Amirante A., Castaidi T., Miniero L., Romano S.P., Toppi A. Measuring Janus temperature in ICE-land. Proceedings of IEEE conference “Principles, Systems and Applications of IP Telecommunications (IPTComm)”. 2018. DOI: 10.1109/IPTCOMM.2018.8567641.
Xhagjika V., Escoda O.D., Navarro L., Vlassov V. Media Streams Allocation and Load Patterns for a WebRTC Cloud Architecture. IEEE 8th International conference on the network of the future (NOF). 2017. DOI 10.1109/NOF.2017.8251214.
Andrer E., Nicolas Breton∗N., Lemesle A., Roux L., Gouaillard A. Comparative Study of WebRTC Open Source SFUs for Video Conferencing. Proceedings of IEEE conference “Principles, Systems and Applications of IP Telecommunications (IPTComm)”. 2018. DOI: 10.1109/IPTCOMM.2018.8567642.
Garcнa B., Lуpez-Fernandez L., Gallego M., Gortazar F. Testing Framework for WebRTC Services. Proceedings of the 9th EAI International Conference on Mobile Multimedia Communications. 2018, Pp. 40–47. DOI: 10.4108/eai.18-6-2016.2264212.
Garcнa B., Lуpez-Fernandez L., Gallego M. Gortazar F. Analysis of video quality and end-to-end latency in WebRTC. IEEE Globecom Workshops (GC Wkshps). 2016. DOI: 10.1109/GLOCOMW.2016.7848838.
Garcнa B., Lуpez-Fernandez L., Gallego M. & Paris M. WebRTC Testing: Challenges and Practical Solutions. IEEE Communications Standards Magazine. 2017. Vol. 1. Issue 2. Pp. 36-42. DOI: 10.1109/MCOMSTD.2017.1700005.
Bertolino A., Calabrу A., Angelis G. D., Gortazar F., Lonetti F., Maes M., Tuсуn G. Quality-of-Experience driven configuration of WebRTC services through automated testing. IEEE 20th International Conference on Software Quality, Reliability and Security (QRS). 2020. Pp. 152-159. DOI: 10.1109/QRS51102.2020.00031.
Garcнa B., Lуpez-Fernandez L., Gortazar F., Gallego M. Practical Evaluation of VMAF Perceptual Video Quality for WebRTC Applications. Electronics. 2019. No. 8. Pp. 854-869. DOI: 10.3390/electronics808085.
Garcнa B., Lуpez-Fernandez L., Gallego M., Miranda B., Jimeґnez E., Angelis G. D., Santos C., Marchetti E. Proposal to Orchestrate Test Cases. IEEE 11th International Conference on the Quality of Information and Communications Technology (QUATIC). 2018. Pp. 38-46. DOI 10.1109/QUATIC.2018.00016.
