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Self-Healing and Dynamic Optimization of VM Server Cluster Management in Multi-Cloud Platform
Self-Healing and Dynamic Optimization of VM Server Cluster Management in Multi-Cloud Platform
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机译:多云平台中VM服务器群集管理的自我修复和动态优化
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摘要
Virtual machine server clusters are managed using self-healing and dynamic optimization to achieve closed-loop automation. The technique uses adaptive thresholding to develop actionable quality metrics for benchmarking and anomaly detection. Real-time analytics are used to determine the root cause of KPI violations and to locate impact areas. Self-healing and dynamic optimization rules are able to automatically correct common issues via no-touch automation in which finger-pointing between operations staff is prevalent, resulting in consolidation, flexibility and reduced deployment time.
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