DESIGN OF A MULTILEVEL ARCHITECTURE FOR OPTIMIZING VIRTUAL MACHINE MIGRATION
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Abstract
The paper considers the problem of designing a multi-tiered control structure for optimizing virtual machine migration processes in virtualized data centers. The relevance of the study is due to the growth of computing workloads, resource heterogeneity, and the need to ensure high performance and energy efficiency of the infrastructure while maintaining QoS (quality of service). Inefficient VM migration can lead to node overload, increased delays, and additional resource costs. The purpose of the paper is to develop a multi-tiered virtual machine migration management model that provides adaptive resource allocation, reduced downtime, and minimized costs for moving virtual machines. The object of the study is the processes of functioning of a virtualized data center, and the subject is methods and models for optimizing VM migration in a multi-tiered control architecture. The proposed structure provides for strategic, tactical and operational levels of management, which allows combining long-term resource planning with operational response to load changes. The work takes into account the criteria of load balancing, energy efficiency, network traffic minimization and SLA (Service Level Agreement) provision. The results of the study can be used in the design of cloud and grid infrastructures to increase the efficiency of computing resources and ensure stable operation of services under dynamic load conditions. The areas of further research are the implementation of intelligent decision-making algorithms and the use of simulation modeling to assess the effectiveness of the proposed structure.
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