发明名称 PROACTIVE IDENTIFICATION OF HOTSPOTS IN A CLOUD COMPUTING ENVIRONMENT
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.
申请公布号 US2016218950(A1) 申请公布日期 2016.07.28
申请号 US201615089771 申请日期 2016.04.04
申请人 International Business Machines Corporation 发明人 Gopisetty Sandeep;Murthy Seshashayee S.;Singh Aameek;Uttamchandani Sandeep M.;Weck David D.
分类号 H04L12/26;H04L29/08 主分类号 H04L12/26
代理机构 代理人
主权项 1. A method for proactively identifying hotspots in a cloud computing environment, comprising: identifying parameters associated with a workload running in the cloud computing environment; providing the parameters to a cloud resource usage model; detecting at least one potential hotspot in the cloud computing environment using the cloud resource usage model; and provisioning at least one resource of the cloud computing environment for the workload in response to the detecting so as to minimize triggering the at least one potential hotspot.
地址 Armonk NY US