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    • 95. 发明授权
    • Semiconductor light emitting diode and method for manufacturing the same
    • 半导体发光二极管及其制造方法
    • US09343625B2
    • 2016-05-17
    • US13340584
    • 2011-12-29
    • Byoung gu ChoSe-Hun KwonJae-Sik Min
    • Byoung gu ChoSe-Hun KwonJae-Sik Min
    • H01L33/24H01L33/00
    • H01L33/24H01L33/007
    • A semiconductor light emitting diode is provided. The semiconductor light emitting diode comprises a metal electrode; an n-type cladding over the metal electrode, the n-type cladding comprising a pillar support part formed of an n-type semiconductor material, and a pillar part having a plurality of pillars formed of an n-type semiconductor material over the pillar support part; an active part conformally formed over the pillar part so as to enclose the pillar part and over the pillar support part between the pillar parts, the active part having a quantum well layer and a barrier layer stacked alternately; a p-type cladding conformally formed of a p-type semiconductor material over the active part; and a transparent electrode formed over the p-type cladding.
    • 提供半导体发光二极管。 半导体发光二极管包括金属电极; 在金属电极上的n型包层,n型包层包括由n型半导体材料形成的柱支撑部分,以及在柱支撑件上方具有由n型半导体材料形成的多个柱的柱部分 部分; 在所述柱部上保形地形成有活性部分,以便将所述柱部包围并且在所述柱部分之间的所述柱支撑部分上方,所述有源部分具有量子阱层和交替堆叠的势垒层; 在活性部分上由p型半导体材料共形形成的p型覆层; 以及形成在p型包层上方的透明电极。
    • 97. 发明授权
    • Forecasting capacity available for processing workloads in a networked computing environment
    • 可用于处理网络计算环境中工作负载的预测能力
    • US09336059B2
    • 2016-05-10
    • US14322266
    • 2014-07-02
    • International Business Machines Corporation
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. HarrisLynn M. Koch
    • G06F9/50H04L12/24
    • G06F9/5044G06F9/5072G06F9/5083G06F2209/5019G06F2209/503H04L41/00
    • Embodiments of the present invention provide an approach for forecasting a capacity available for processing a workload in a networked computing environment (e.g., a cloud computing environment). Specifically, aspects of the present invention provide service availability for cloud subscribers by forecasting the capacity available for running or scheduled applications in a networked computing environment. In one embodiment, capacity data may be collected and analyzed in real-time from a set of cloud service providers and/or peer cloud-based systems. In order to further increase forecast accuracy, historical data and forecast output may be post-processed. Data may be post-processed in a substantially continuous manner so as to assess the accuracy of previous forecasts. By factoring in actual capacity data collected after a forecast, and taking into account applications requirements as well as other factors, substantially continuous calibration of the algorithm can occur so as to improve the accuracy of future forecasts and enable functioning in a self-learning (e.g., heuristic) mode.
    • 本发明的实施例提供了一种用于预测可用于处理联网计算环境(例如,云计算环境)中的工作负载的容量的方法。 具体地,本发明的方面通过预测可用于在网络计算环境中运行或调度的应用的容量来为云用户提供服务可用性。 在一个实施例中,可以从一组云服务提供商和/或基于对等云的系统实时收集和分析容量数据。 为了进一步提高预测精度,历史数据和预测输出可能会被后处理。 数据可以以基本上连续的方式进行后处理,以便评估先前预测的准确性。 通过考虑预测后收集的实际容量数据,并考虑到应用需求以及其他因素,可能会发生基本连续的算法校准,以提高未来预测的准确性,并使自动学习(例如, ,启发式)模式。