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BID ADVISING IN RESOURCE ALLOCATION DATA ANALYTICS FRAMEWORKS

机译:资源分配数据分析框架中的投标咨询

摘要

Techniques facilitating advising bid values for usage of resource in a resource allocation data analytics framework are provided. In one example, a computer-implemented method can include generating, by a system operatively coupled to a processor, one or more performance models. A performance model of the one or more performance models is associated with respective service classes for a resource of a computing infrastructure associated with a provider network and comprising one or more resources available for allocation. A service class of the respective service classes represents a performance differentiation compared to other ones of the respective service classes. The computer-implemented method can also include determining, by the system, a suggested bid value for the resource. The suggested bid value represents an expected performance metric of the resource as a function of a bid value and is based on the one or more performance models.
机译:提供了在资源分配数据分析框架中促进建议使用资源的投标值的技术。在一个示例中,一种计算机实现的方法可以包括:由可操作地耦合到处理器的系统生成一个或多个性能模型。一个或多个性能模型中的一个性能模型与用于与提供商网络相关联的计算基础设施的资源的相应服务类别相关联,并包括可用于分配的一个或多个资源。与各个服务类别中的其他服务类别相比,各个服务类别的服务类别表示性能差异。该计算机实现的方法还可以包括由系统确定资源的建议出价值。建议的投标值表示作为投标值的函数的资源的预期性能度量,并且基于一个或多个性能模型。

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