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    HIGHLY SCALABLE SLA-AWARE SCHEDULING FOR CLOUD SERVICES
    5.
    发明申请
    HIGHLY SCALABLE SLA-AWARE SCHEDULING FOR CLOUD SERVICES 有权
    用于云服务的高可伸缩SLA-AWARE调度

    公开(公告)号：US20120023501A1

    公开(公告)日：2012-01-26

    申请号：US12985038

    申请日：2011-01-05

    申请人： Yun Chi ,  Hyun Jin Moon ,  Vahit Hakan Hacigumus

    发明人： Yun Chi ,  Hyun Jin Moon ,  Vahit Hakan Hacigumus

    IPC分类号： G06F9/46

    CPC分类号： G06Q50/10 ,  G06Q10/0631 ,  G06Q30/0283

    摘要： An efficient cost-based scheduling method called incremental cost-based scheduling, iCBS, maps each job, based on its arrival time and SLA function, to a fixed point in the dual space of linear functions. Due to this mapping, in the dual space, the job will not change their locations over time. Instead, at the time of selecting the next job with the highest priority to execute, a line with appropriate angle in the query space is used to locate the current job with the highest CBS score in logarithmic time. Because only those points that are located on the convex hull in the dual space can be chosen, a dynamic convex hull maintaining method incrementally maintains the job with the highest CBS score over time.

    摘要翻译： 基于成本的有效调度方法称为增量成本调度，iCBS将每个作业的到达时间和SLA功能映射到线性函数的双重空间中的一个固定点。 由于这种映射，在双重空间中，作业将不会随着时间而改变其位置。 相反，在选择执行最高优先级的下一个作业时，在查询空间中具有适当角度的行用于以对数时间定位具有最高CBS分数的当前作业。 因为只能选择位于双重空间中的凸包上的那些点，所以动态凸包维持方法随着时间的推移逐渐维持CBS得分最高的作业。

    INTELLIGENT MANAGEMENT OF VIRTUALIZED RESOURCES FOR CLOUD DATABASE SYSTEMS
    6.
    发明申请
    INTELLIGENT MANAGEMENT OF VIRTUALIZED RESOURCES FOR CLOUD DATABASE SYSTEMS 有权
    智能数据库系统虚拟化资源管理

    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

    IPC分类号： G06Q10/00 ,  G06F15/18 ,  G06N5/02

    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。

    EFFICIENT MAINTENANCE OF JOB PRIORITIZATION FOR PROFIT MAXIMIZATION IN CLOUD SERVICE DELIVERY INFRASTRUCTURES
    7.
    发明申请
    EFFICIENT MAINTENANCE OF JOB PRIORITIZATION FOR PROFIT MAXIMIZATION IN CLOUD SERVICE DELIVERY INFRASTRUCTURES 审中-公开
    高效维护云服务交付基础设施利润最大化

    公开(公告)号：US20110173626A1

    公开(公告)日：2011-07-14

    申请号：US12818528

    申请日：2010-06-18

    申请人： Yun Chi ,  Vahit Hakan Hacigumus ,  Hyun Jin Moon

    发明人： Yun Chi ,  Vahit Hakan Hacigumus ,  Hyun Jin Moon

    IPC分类号： G06F9/46

    CPC分类号： G06F9/5072 ,  G06F2209/506 ,  G06Q10/0631 ,  G06Q10/103

    摘要： Systems and methods are disclosed for efficient maintenance of job prioritization for profit maximization in cloud-based service delivery infrastructures with multi-step cost structure support by breaking multiple steps in the SLA of a job into corresponding cost steps; generating a segmented cost function for each cost step; creating a cost-based-scheduling (CBS)-priority value associated with a validity period for each segment based on the segmented cost function; and choosing the job with the highest CBS priority value.

    摘要翻译： 公开了系统和方法，通过将作业的SLA中的多个步骤分解为相应的成本步骤，通过多步成本结构支持，有效地维护基于云的服务交付基础设施中的利润最大化的工作优先级排序; 为每个成本步骤生成分段成本函数; 基于分段成本函数创建与每个段的有效期相关联的基于成本的调度（CBS）优先级值; 并选择具有最高CBS优先级值的作业。

    Highly scalable cost based SLA-aware scheduling for cloud services
    9.
    发明授权
    Highly scalable cost based SLA-aware scheduling for cloud services 有权
    针对云服务的高度可扩展的基于成本的SLA感知调度

    公开(公告)号：US08776076B2

    公开(公告)日：2014-07-08

    申请号：US12985038

    申请日：2011-01-05

    申请人： Yun Chi ,  Hyun Jin Moon ,  Vahit Hakan Hacigumus

    发明人： Yun Chi ,  Hyun Jin Moon ,  Vahit Hakan Hacigumus

    IPC分类号： G06F9/46 ,  G06F15/173 ,  G06Q50/10 ,  G06Q30/02 ,  G06Q10/06

    CPC分类号： G06Q50/10 ,  G06Q10/0631 ,  G06Q30/0283

    摘要： An efficient cost-based scheduling method called incremental cost-based scheduling, iCBS, maps each job, based on its arrival time and SLA function, to a fixed point in the dual space of linear functions. Due to this mapping, in the dual space, the job will not change their locations over time. Instead, at the time of selecting the next job with the highest priority to execute, a line with appropriate angle in the query space is used to locate the current job with the highest CBS score in logarithmic time. Because only those points that are located on the convex hull in the dual space can be chosen, a dynamic convex hull maintaining method incrementally maintains the job with the highest CBS score over time.

    摘要翻译： 基于成本的有效调度方法称为增量成本调度，iCBS将每个作业的到达时间和SLA功能映射到线性函数的双重空间中的一个固定点。 由于这种映射，在双重空间中，作业将不会随着时间而改变其位置。 相反，在选择执行最高优先级的下一个作业时，在查询空间中具有适当角度的行用于以对数时间定位具有最高CBS分数的当前作业。 因为只能选择位于双重空间中的凸包上的那些点，所以动态凸包维持方法随着时间的推移逐渐维持CBS得分最高的作业。