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    • 8. 发明授权
    • Configuring cloud resources
    • 配置云资源
    • US08676848B2
    • 2014-03-18
    • US12797464
    • 2010-06-09
    • Naveen G. BalaniArchana KumarVijay K. Sukthankar
    • Naveen G. BalaniArchana KumarVijay K. Sukthankar
    • G06F17/00
    • H04L47/70G06F9/5072Y02D10/22Y02D10/36
    • A method, system, and program product for identifying cloud resources are provided, and further a method, system, and program product for configuring cloud resources are provided. The method for identifying cloud resources may include receiving a request with respect to at least one resource in a cloud and determining a set of resources among the at least one resource in the cloud in accordance with the received request. Determining the set of resources may include consulting an ontology including metadata associated with the at least one resource in the cloud and computing the set of resources based on the metadata and the received request. Additionally, the method may include computing a cost factor with respect to the determined set of resources. Furthermore, the method may include rendering, in response to the received request, the determined set of resources and the cost factor with respect to the determined set of resources.
    • 提供了一种用于识别云资源的方法,系统和程序产品,并提供了用于配置云资源的方法,系统和程序产品。 用于识别云资源的方法可以包括:接收关于云中的至少一个资源的请求,并根据接收的请求确定云中的至少一个资源之间的一组资源。 确定资源集合可以包括咨询本体,包括与云中的至少一个资源相关联的元数据,并且基于元数据和接收到的请求来计算资源集合。 另外,该方法可以包括相对于确定的资源集合来计算成本因子。 此外,该方法可以包括响应于所接收的请求,相对于确定的资源集合来呈现所确定的资源集合和成本因子。
    • 9. 发明授权
    • Optimized capacity planning
    • 优化容量规划
    • US08458334B2
    • 2013-06-04
    • US12704063
    • 2010-02-11
    • Vijay K. SukthankarPradipta K. BanerjeeSwarna L. Mylavarapu
    • Vijay K. SukthankarPradipta K. BanerjeeSwarna L. Mylavarapu
    • G06F11/00
    • G06N3/126
    • A computer implemented method, system and/or program product determine capacity planning of resources by utilizing a stochastic analysis of application workloads. Average workloads, which describe past resource utilization, of each of multiple applications are computed. A random sequence of the multiple applications is encoded into a first generation chromosome. The first generation chromosome is executed using a set of computing resources in a resource cloud. In response to execution of the first generation chromosome on the set of computing resources meeting a predetermined service level agreement (SLA) for the first generation chromosome, the first generation chromosome is scored in accordance with how many computing resources within the set of computing resources are utilized in order to meet the predetermined SLA. Next generation chromosomes, derived from the first generation chromosome, are executed and scored until an optimal chromosome, which utilizes the fewest computing resources, is identified and deployed.
    • 计算机实现的方法,系统和/或程序产品通过利用应用程序工作负载的随机分析来确定资源的容量规划。 计算每个多个应用程序的平均工作负载,它们描述过去的资源利用率。 将多个应用的​​随机序列编码为第一代染色体。 使用资源云中的一组计算资源来执行第一代染色体。 响应于满足第一代染色体的预定服务水平协议(SLA)的计算资源集合上的第一代染色体的执行,根据计算资源集合内的计算资源数量计算第一代染色体 用于满足预定的SLA。 来自第一代染色体的下一代染色体被执行并评分,直到识别和部署利用最少计算资源的最佳染色体。