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DETERMINING AND IMPLEMENTING A FEASILBE RESOURCE OPTIMIZATION PLAN FOR PUBLIC CLOUD CONSUMPTION

机译:确定和实施公共云消耗的Feasilbe资源优化计划

摘要

Example implementations relate to determining and implementing a feasible resource optimization plan for public cloud consumption. Telemetry data over a period of time is obtained for a current deployment of virtual infrastructure resources within a current data center of a cloud provider that supports an existing service and an application deployed on the virtual infrastructure resources. Information regarding a set of constraints to be imposed on a resource optimization plan is obtained. Indicators of resource consumption relating to the currently deployed virtual infrastructure resources during the period of time are identified by applying a deep learning algorithm to the telemetry data. A resource optimization plan is determined that is feasible within the set of constraints based on a costing model associated with resources of an alternative data center of the cloud provider, the indicators of resource consumption and costs associated with the current deployment.
机译:示例实现涉及确定和实现公共云消耗的可行资源优化计划。在一段时间内获得遥测数据,用于当前在支持现有服务的云提供商的当前数据中心内的虚拟基础架构资源中部署虚拟基础架构资源和部署在虚拟基础架构资源上的应用程序。获得了关于要在资源优化计划上施加的一组约束的信息。通过将深度学习算法应用于遥测数据来识别与当前部署的虚拟基础设施资源有关的资源消耗指标。确定资源优化计划,其基于与云提供商的替代数据中心的资源相关联的成本化模型,可以在约束中可行,资源消耗指示符和与当前部署相关联的成本。

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