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Proactive identification of hotspots in a cloud computing environment

机译:在云计算环境中主动识别热点

摘要

The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.
机译:本发明通过使用工作负载参数作为输入的云资源使用模型来主动地识别云计算环境中的热点。在一些实施例中,云资源使用模型基于来自云资源的性能数据和基于时间序列的工作量趋势模型。热点可能会出现,并且可以在云计算环境的任何层(包括服务器,存储和网络级别)检测到。在典型的实施例中,用于工作负载的参数在云计算环境中被识别并且被输入到云资源使用模型中。使用输入的工作负载参数运行该模型,以识别潜在的热点,然后为工作负载配置资源,以避开这些热点。

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