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Prescriptive Analytics Based Data Warehouse Cluster Node Optimization Stack for Cloud Computing

机译:基于规定的分析数据仓库群集节点优化堆栈用于云计算

摘要

A multi-layer cluster node optimization (CNO) stack may generate a token containing cluster node optimization prescriptions for detaching nodes from a storage cluster. A prescriptive engine layer of the CNO stack may select target computing resource nodes from a selected cluster based on the utilization tracking data, the optimization metric thresholds, and the CNO interval; utilize a prediction engine to predict respective storage utilizations over a next operation cycle for the nodes of the selected cluster; generate an aggregated storage utilization prediction for the selected cluster based on the predicted storage utilizations; determine a network traffic coefficient for the selected cluster based on the network traffic data; perform a cluster determination whether to execute a cluster node optimization for the selected cluster based on the aggregated storage utilization prediction and the network traffic coefficient; and generate a CNO token based on the cluster determination.
机译:多层群集节点优化(CNO)堆栈可以生成包含用于从存储群集中分离节点的集群节点优化处的令牌。 基于利用跟踪数据,优化度量阈值和CNO间隔,CNO堆栈的规定发动机层可以从所选集群中选择目标计算资源节点; 利用预测引擎以在所选群集的节点上通过下一个操作周期预测各个存储利用; 基于预测的存储利用率为所选集群生成聚合存储利用率预测; 根据网络流量数据确定所选集群的网络流量系数; 执行群集确定是否基于聚合的存储利用预测和网络流量系数对所选群集执行群集节点优化; 并根据群集确定生成CNO令牌。

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