DYNAMIC DATA COMPRESSION SYSTEM
    11.
    发明申请
    DYNAMIC DATA COMPRESSION SYSTEM 审中-公开
    动态数据压缩系统

    公开(公告)号:US20150006667A1

    公开(公告)日:2015-01-01

    申请号:US13930134

    申请日:2013-06-28

    Abstract: This disclosure is directed to a dynamic data compression system. A device may request data comprising certain content from a remote resource. The remote resource may determine if any part of the content is identical or similar to content in other data and if the other data is already on the requesting device. Smart compression may then involve transmitting only the portions of the content not residing on the requesting device, which may combine the received portions of the content with the other data. In another example, a capturing device may capture at least one of an image or video. Smart compression may then involve transmitting only certain features of the image/video to the remote resource. The remote resource may determine image/video content based on the received features, and may perform an action based on the content. In addition, a determination whether to perform smart compression may be based on system/device conditions.

    Abstract translation: 本公开涉及动态数据压缩系统。 设备可以从远程资源请求包括某些内容的数据。 远程资源可以确定内容的任何部分是否与其他数据中的内容相同或相似,并且其他数据是否已经在请求设备上。 然后,智能压缩可以仅涉及仅发送不驻留在请求设备上的内容的部分,其可以将接收的内容部分与其他数据组合。 在另一示例中,捕获设备可以捕获图像或视频中的至少一个。 智能压缩可能仅涉及将图像/视频的某些特征仅发送到远程资源。 远程资源可以基于接收到的特征来确定图像/视频内容,并且可以基于内容执行动作。 此外,是否执行智能压缩的确定可以基于系统/设备条件。

    Managing data center resources to achieve a quality of service
    12.
    发明申请
    Managing data center resources to achieve a quality of service 审中-公开
    管理数据中心资源,实现服务质量

    公开(公告)号:US20140095691A1

    公开(公告)日:2014-04-03

    申请号:US13630545

    申请日:2012-09-28

    CPC classification number: H04L41/50 H04L41/145 H04L41/5009 H04L41/5025

    Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.

    Abstract translation: 根据一些实施例,云服务提供商可以以基于利用率和服务水平协议来动态地重新分配数据中心内的节点之间的资源的方式来操作数据中心。 换句话说,资源分配可以根据当前条件动态调整。 数据中心当前的状况可能是所有当前工作负载的性质的函数。 而不是简单地以提高总体执行效率的方式管理工作负载,而是根据服务级别协议,数据中心可以管理工作负载以实现特定工作负载的服务质量要求。

    Priority based throttling for power/performance quality of service
    17.
    发明授权
    Priority based throttling for power/performance quality of service 有权
    基于优先级的电源/性能质量服务节制

    公开(公告)号:US08799902B2

    公开(公告)日:2014-08-05

    申请号:US11786019

    申请日:2007-04-09

    Abstract: A method and apparatus for throttling power and/or performance of processing elements based on a priority of software entities is herein described. Priority aware power management logic receives priority levels of software entities and modifies operating points of processing elements associated with the software entities accordingly. Therefore, in a power savings mode, processing elements executing low priority applications/tasks are reduced to a lower operating point, i.e. lower voltage, lower frequency, throttled instruction issue, throttled memory accesses, and/or less access to shared resources. In addition, utilization logic potentially trackes utilization of a resource per priority level, which allows the power manager to determine operating points based on the effect of each priority level on each other from the perspective of the resources themselves. Moreover, a software entity itself may assign operating points, which the power manager enforces.

    Abstract translation: 这里描述了一种基于软件实体的优先级来节制处理元件的功率和/或性能的方法和装置。 优先级感知功率管理逻辑接收软件实体的优先级,并相应地修改与软件实体相关联的处理元件的工作点。 因此,在省电模式中,执行低优先级应用/任务的处理元件被降低到较低的工作点,即较低的电压,较低的频率,节流的指令问题,节流的存储器访问和/或较少的对共享资源的访问。 此外,利用逻辑潜在地追踪每个优先级别的资源的利用率,这允许电力管理者从资源本身的角度基于每个优先级的影响来确定工作点。 此外,软件实体本身可以分配功率管理器执行的操作点。

Patent Agency Ranking