MULTI-CRITERIA OPTIMIZATION OF CLUSTER STRUCTURE WITH CONTAINER VIRTUALIZATION
Annotation
The practice of deploying applications in the form of containers, which has become widespread in recent years due to its high efficiency and flexibility in managing computing resources is discussed. Containerization allows accelerating the development and deployment of software, increases the stability, performance and reliability of applications during adaptive reconfiguration of the system to changes in request flows and accumulation of failures. When substantiating the choice of design solutions, the efficiency of cluster systems with container virtualization is estimated by the profit received from operating the system per unit of time. This profit depends on the impact of the number of deployed containers on request servicing delays and on infrastructure support. The difficulty of estimating the average wait time for requests in the cluster nodes is due to the complex effect of dynamic sharing of shared computing resources of nodes between active containers on their performance during container virtualization. The study is aimedat improving the efficiency of cluster container virtualization systems with adaptive reconfiguration of the number of nodes and containers deployed in them depending on the intensity of requests coming into the cluster. The choice of cluster configuration is made taking into account the reduction of operating costs and increase in profit from the timely and error-free execution of functional requests.
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Articles in current issue
- MULTI-CRITERIA OPTIMIZATION OF CLUSTER STRUCTURE WITH CONTAINER VIRTUALIZATION
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