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    • 5. 发明授权
    • Workload interference estimation and performance optimization
    • 工作负载干扰估计和性能优化
    • US08707300B2
    • 2014-04-22
    • US12843054
    • 2010-07-26
    • Sriram GovindanJie LiuAman Kansal
    • Sriram GovindanJie LiuAman Kansal
    • G06F9/46G06F9/455G06F11/00
    • G06F9/5083G06F9/45533G06F9/52
    • Architecture that facilitates the estimation of interference among workloads (e.g., virtual machines) due to sharing of a shared resource (e.g., a shared cache of a computer processor), and optimization of a desired performance objective such as power or energy use in the presence of the interference. Estimation is to the extent of interference by characterizing the nature of shared resource usage and its effect on performance. Performance optimization is accomplished using metrics based on the above estimation, or alternatively, an explicit measurement of the interference effects. Methods are employed to estimate interference on the workload's performance with changes in availability of the shared resource or with combinations of other workloads sharing the same resource and allocating workloads to one or more physical computers or resources to workloads such that a desired performance objective is optimized. The methods can include allocating workloads on demand.
    • 由于共享共享资源(例如,计算机处理器的共享缓存),有助于估计工作负载(例如,虚拟机)之间的干扰的架构,以及优化所期望的性能目标,例如存在的功率或能量使用 的干扰。 通过描述共享资源使用的性质及其对性能的影响来估计干扰程度。 使用基于上述估计的度量或者干扰效应的显式测量来实现性能优化。 采用方法来估计对共享资源的可用性的改变或共享相同资源的其他工作负载的组合的工作负载性能的干扰,并且将工作负载分配给一个或多个物理计算机或资源到工作负载,使得期望的性能目标被优化。 这些方法可以包括按需分配工作负载。
    • 6. 发明申请
    • Virtualized Application Power Budgeting
    • 虚拟化应用电源预算
    • US20120290865A1
    • 2012-11-15
    • US13107806
    • 2011-05-13
    • Aman KansalJie LiuSean McGraneHarold Lim
    • Aman KansalJie LiuSean McGraneHarold Lim
    • G06F1/26
    • G06F1/3234G06F1/3203G06F1/329G06F9/5094Y02D10/22Y02D10/24
    • Virtualized application power budgeting can manage power budgeting for multiple applications in data centers. This power budgeting may be done in intelligent and/or dynamic ways and may be useful for updating power budgets, resolving conflicts in requests for power, and may improve the efficiency of the distribution of power to multiple applications.Virtualized application power budgeting can distinguish between priority applications and non-priority applications at a granular, virtual machine level and reduce the power consumption to only non-priority applications when there are power consumption conflicts. Virtualized application power budgeting may be able to determine the most efficient manner of providing power to each application in a data center. Further, virtualized application power budgeting may be able to distribute power according to application priority and other predetermined requirements and improve the efficiency of the power consumption by the devices in the data center.
    • 虚拟化应用功率预算可以管理数据中心中多个应用的​​功率预算。 这种功率预算可以以智能和/或动态的方式完成,并且对于更新功率预算,解决电力请求中的冲突可能是有用的,并且可以提高对多个应用的​​功率分配的效率。 虚拟化的应用程序功耗预算可以在细粒度的虚拟机器级别区分优先级应用程序和非优先级应用程序,并在存在功耗冲突时将功耗降低到仅非优先级应用程序。 虚拟化应用功率预算可能能够确定为数据中心中的每个应用提供电力的最有效的方式。 此外,虚拟化应用功率预算可以能够根据应用优先级和其他预定要求分配功率,并且提高数据中心中的设备的功率消耗的效率。
    • 9. 发明申请
    • Pixel Extraction And Replacement
    • 像素提取和替换
    • US20080199095A1
    • 2008-08-21
    • US11676994
    • 2007-02-20
    • Aman Kansal
    • Aman Kansal
    • G06K9/40
    • G06T5/005
    • A method for pixel extraction and replacement is disclosed. In one implementation, the method includes generating a set of pixel values and pixel value frequencies for a pixel presented in a series of digital images of a scene. A digital image of the scene which includes a pixel value for the pixel is received and a comparison is made between the pixel value and the set of pixel values. A determination is performed to decide upon substitution of the pixel value with a different pixel value based on the comparison. Other techniques are also disclosed.
    • 公开了一种用于像素提取和替换的方法。 在一个实现中,该方法包括为场景的一系列数字图像中呈现的像素生成一组像素值和像素值频率。 接收包括像素的像素值的场景的数字图像,并且在像素值和像素值集合之间进行比较。 执行确定以基于比较来替换具有不同像素值的像素值。 还公开了其它技术。
    • 10. 发明申请
    • Coverage-Based Image Relevance Ranking
    • 基于覆盖的图像相关性排名
    • US20080101723A1
    • 2008-05-01
    • US11553110
    • 2006-10-26
    • Aman Kansal
    • Aman Kansal
    • G06K9/36
    • G06K9/4604G06F17/3025G06T7/33G06T2207/30184
    • Implementations of coverage-based image relevance ranking are described. In one implementation, an acquired image is ranked relative to a set of previously stored images based upon the conditional entropy of the acquired image. The conditional entropy may be computed after first removing overlapping pixels that are present in both the acquired image and the set of previously stored images. Once the image is assigned a relevance rank, other decisions concerning the image may be made based on the rank, such as whether to save the image, delete the image, or use it to replace a less relevant image.
    • 描述基于覆盖的图像相关性排名的实现。 在一个实现中,基于所获取的图像的条件熵,获取的图像相对于一组先前存储的图像被排序。 可以在首先去除存在于所获取的图像和先前存储的图像的集合中的重叠像素之后,计算条件熵。 一旦图像被分配了相关性等级,关于图像的其他决定可以基于等级进行,例如是否保存图像,删除图像,或者使用它来替换较不相关的图像。