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1.发明授权公开(公告)号：US08359223B2
公开(公告)日：2013-01-22
申请号：US12985021
申请日：2011-01-05
申请人： Yun Chi , Hyun Jin Moon , V. Hakan Hacigumus , Pengcheng Xiong , Shenghuo Zhu
发明人： Yun Chi , Hyun Jin Moon , V. Hakan Hacigumus , Pengcheng Xiong , Shenghuo Zhu
CPC分类号： G06F17/30442 , G06F9/5072 , G06Q10/06312
摘要： Systems and methods are disclosed to manage resources in a cloud-based computing system by generating a model of a relationship between cloud database resources and an expected profit based on cloud-server system parameters and service level agreements (SLAs) that indicates profits for different system performances, wherein the model comprises a two level optimization/control problem, wherein model receives system metrics, number of replicas, and arrival rate as the multiple input; and dynamically adjusting resource allocation among different customers based on current customer workload and the expected profit to maximize the expected profit for a cloud computing service provider.
摘要翻译： 披露了系统和方法来管理云计算系统中的资源，通过生成云数据库资源之间的关系模型和基于云服务器系统参数和服务水平协议（SLA）的预期利润，该协议指示不同系统的利润 性能，其中模型包括两级优化/控制问题，其中模型接收系统度量，复制数量和到达速率作为多输入; 并根据当前客户工作量和预期利润动态调整不同客户之间的资源配置，以最大化云计算服务提供商的预期利润。
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公开(公告)号：US08768875B2
公开(公告)日：2014-07-01
申请号：US13251215
申请日：2011-10-01
申请人： Pengcheng Xiong , Yun Chi , V. Hakan Hacigumus , Junichi Tatemura , Shenghuo Zhu
发明人： Pengcheng Xiong , Yun Chi , V. Hakan Hacigumus , Junichi Tatemura , Shenghuo Zhu
CPC分类号： G06Q10/06316 , G06Q10/0633 , G06Q30/01
摘要： An admission control system for a cloud database includes a machine learning prediction module to estimate a predicted probability for a newly arrived query with a deadline, if admitted into the cloud database, to finish its execution before said deadline, wherein the prediction considers query characteristics and current system conditions. The system also includes a decision module applying the predicted probability to admit a query into the cloud database with a target of profit maximization with an expected profit determined using one or more service level agreements (SLAs).
摘要翻译： 用于云数据库的准入控制系统包括：机器学习预测模块，用于在所述截止期限之前估计具有截止日期的新到达查询的预测概率（如果被允许进入云数据库）以完成其执行，其中所述预测考虑查询特性， 当前系统条件。 该系统还包括一个决策模块，将预测的概率应用于使用一个或多个服务水平协议（SLA）确定的预期利润的利润最大化目标的云数据库中进行查询。
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3.发明申请公开(公告)号：US20120022910A1
公开(公告)日：2012-01-26
申请号：US12985021
申请日：2011-01-05
申请人： Yun Chi , Pengcheng Xiong , Shenghuo Zhu , Hyun Jin Moon , Vahit Hakan Hacigumus
发明人： Yun Chi , Pengcheng Xiong , Shenghuo Zhu , Hyun Jin Moon , Vahit Hakan Hacigumus
CPC分类号： G06F17/30442 , G06F9/5072 , G06Q10/06312
摘要： Systems and methods are disclosed to manage resources in a cloud-based computing system by generating a model of a relationship between cloud database resources and an expected profit based on cloud-server system parameters and service level agreements (SLAs) that indicates profits for different system performances, wherein the model comprises a two level optimization/control problem, wherein model receives system metrics, number of replicas, and arrival rate as the multiple input; and dynamically adjusting resource allocation among different customers based on current customer workload and the expected profit to maximize the expected profit for a cloud computing service provider.
摘要翻译： 披露了系统和方法来管理云计算系统中的资源，通过生成云数据库资源之间的关系模型和基于云服务器系统参数和服务水平协议（SLA）的预期利润，该协议指示不同系统的利润 性能，其中模型包括两级优化/控制问题，其中模型接收系统度量，复制数量和到达速率作为多输入; 并根据当前客户工作量和预期利润动态调整不同客户之间的资源配置，以最大化云计算服务提供商的预期利润。
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公开(公告)号：US20120109873A1
公开(公告)日：2012-05-03
申请号：US13251215
申请日：2011-10-01
IPC分类号： G06N7/02
CPC分类号： G06Q10/06316 , G06Q10/0633 , G06Q30/01
摘要： An admission control system for a cloud database includes a machine learning prediction module to estimate a predicted probability for a newly arrived query with a deadline, if admitted into the cloud database, to finish its execution before said deadline, wherein the prediction considers query characteristics and current system conditions. The system also includes a decision module applying the predicted probability to admit a query into the cloud database with a target of profit maximization with an expected profit determined using one or more service level agreements (SLAs).
摘要翻译： 用于云数据库的准入控制系统包括：机器学习预测模块，用于在所述截止期限之前估计具有截止日期的新到达查询的预测概率（如果被允许进入云数据库）以完成其执行，其中所述预测考虑查询特性， 当前系统条件。 该系统还包括一个决策模块，将预测的概率应用于使用一个或多个服务水平协议（SLA）确定的预期利润的利润最大化目标的云数据库中进行查询。
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