EXPERIMENTAL STUDY OF CLUSTER PERFORMANCE WITH CONTAINER VIRTUALIZATION
Annotation
The intensity of query servicing during automatic division of computer system resources between active, i.e. currently used, containers is investigated experimentally. At the first stage of experiments, the formation and deployment of a service (web server) on a cluster is performed. At the second stage, a test program is launched with the results saved in a log file. Algorithms for conducting experiments at the first and second stages are proposed. The experiments are conducted in a laboratory environment of Proxmox cloud virtualization and Kubernetes cluster management tools. A program in the Python programming language is developed to automate the deployment and update of the service configuration on the Kubernetes cluster. The program uses the SCP and PARAMIKO libraries for remote deployment and update of the service. The influence of the distribution of limited system resource capabilities between active and deployed containers in the system (virtual machine) on the intensity of request servicing was revealed. The obtained results can be used in the development of an analytical model for servicing a system with container virtualization, including virtual cluster systems.
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