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    • 1. 发明申请
    • CLOUD COMPUTING SOLUTION GENERATION SYSTEMS AND METHODS
    • 云计算解决方案生成系统和方法
    • US20150302440A1
    • 2015-10-22
    • US14687681
    • 2015-04-15
    • XOcur, Inc.
    • Jason Peter MondenDaniel David KarmazynPerron Richard SuttonJames Clifton Dougharty
    • G06Q30/02H04L12/24
    • G06Q30/0206H04L41/0826H04L41/142
    • There is disclosed a cloud solutions generator including a back-end processor running asynchronously from the front-end processor. In an embodiment, pricing and services are retrieved from a service provider and normalized into a normalized provider metrics for comparing multiple service providers. One or more benchmarking tests characterize the performance of at least one service provider, storing benchmarking metrics as a result. A user enters business-level user requirements for running a user application having a user application performance and specifying a user cloud configuration of the cloud resources. Business-level user requirements are normalized into normalized user requirements for mapping the normalized provider metrics to the business-level user requirements. A solutions calculator scales the normalized provider metrics by the benchmarking metrics to calculate a potential configuration performance. The solutions calculator stores a finite solution set having the best potential configuration performance and price. Other embodiments are disclosed.
    • 公开了一种云解决方案生成器,其包括从前端处理器异步运行的后端处理器。 在一个实施例中,从服务提供商检索定价和服务,并将其归一化为用于比较多个服务提供商的归一化提供商度量。 一个或多个基准测试表征至少一个服务提供商的性能,因此存储基准测度指标。 用户输入用于运行具有用户应用程序性能的用户应用程序的业务级用户要求,并指定云资源的用户云配置。 业务级用户需求被归一化为归一化的用户需求,用于将归一化提供商度量映射到业务级用户需求。 解决方案计算器通过基准测度来缩放归一化的提供商指标,以计算潜在的配置性能。 解决方案计算器存储具有最佳潜在配置性能和价格的有限解决方案集。 公开了其他实施例。