In order to achieve failure prediction without manual intervention for distributed systems, a novel failure feature analysis and extraction approach to automate failure prediction is proposed. Compared with the tradit...In order to achieve failure prediction without manual intervention for distributed systems, a novel failure feature analysis and extraction approach to automate failure prediction is proposed. Compared with the traditional methods which focus on building heuristic rules or models, the autonomic prediction approach analyzes the nonlinear correlation of failure features by recognizing failure patterns. Failure data are sorted according to the nonlinear correlation and failure signature is proposed for autonomic prediction. In addition, the Manifold Learning algorithm named supervised locally linear embedding is applied to achieve feature extraction. Based on the runtime monitoring of failure metrics, the experimental results indicate that the proposed method has better performance in terms of both correlation recognition precision and feature extraction quality and thus it can be used to design efficient autonomic failure prediction for distributed systems.展开更多
本文首先基于地面自动站、探空、雷达和卫星资料,开展局地分析预报系统(Local Analysis and Prediction System,LAPS)上海本地化研究,并结合2010—2014年夏季6个局地对流天气个例对其性能进行检验评估。结果表明:雷达径向风资料对LAPS...本文首先基于地面自动站、探空、雷达和卫星资料,开展局地分析预报系统(Local Analysis and Prediction System,LAPS)上海本地化研究,并结合2010—2014年夏季6个局地对流天气个例对其性能进行检验评估。结果表明:雷达径向风资料对LAPS风速分析影响较大,使分析场风速廓线与探空廓线的均方根误差缩小约7.66%;风云卫星资料能够改善LAPS温度和相对湿度,使分析场温度、相对湿度廓线与探空廓线的均方根误差分别缩小约9.09%和14.01%;探空气球飘移对本文LAPS分析场检验影响不明显。进一步将LAPS分析场用于2011年8月13日、2014年8月4日两次局地对流个例分析表明:LAPS高时空分辨率的分析场能够反映中小尺度天气系统的时空变化,在天气尺度背景并不十分有利于对流生成的情况下,热岛、海陆风环流的形成和持续对上海夏季局地对流天气的发生和发展起到关键作用。展开更多
针对Local Analysis and Prediction System(LAPS)融合我国新一代多普勒雷达基数据时产生的资料空白问题,设计采用最大值和距离指数权重拼图方法来改进LAPS原有的最近邻居法,并且尝试通过最小二乘法来模拟静锥区的反射率值。试验结果表...针对Local Analysis and Prediction System(LAPS)融合我国新一代多普勒雷达基数据时产生的资料空白问题,设计采用最大值和距离指数权重拼图方法来改进LAPS原有的最近邻居法,并且尝试通过最小二乘法来模拟静锥区的反射率值。试验结果表明,最大值法和距离指数权重法能够充分发挥多部雷达观测反射率的效能,有效地改善高仰角之间的资料空白现象,对静锥区也有一些的填补,特别是在对流层中层。最小二乘法拟合静锥区反射率试验取得了一定的效果,能够较好地拟合静锥区周围观测资料比较多的情况。该研究改善了LAPS同化国产多普勒雷达资料的能力,提高了多部雷达观测的利用效能,将会对LAPS分析产生积极的影响。展开更多
基金Supported by the National High Technology Research and Development Programme of China （ No. 2007AA01Z401 ） and the National Natural Science Foundation of China （No. 90718003, 60973027）.
文摘In order to achieve failure prediction without manual intervention for distributed systems, a novel failure feature analysis and extraction approach to automate failure prediction is proposed. Compared with the traditional methods which focus on building heuristic rules or models, the autonomic prediction approach analyzes the nonlinear correlation of failure features by recognizing failure patterns. Failure data are sorted according to the nonlinear correlation and failure signature is proposed for autonomic prediction. In addition, the Manifold Learning algorithm named supervised locally linear embedding is applied to achieve feature extraction. Based on the runtime monitoring of failure metrics, the experimental results indicate that the proposed method has better performance in terms of both correlation recognition precision and feature extraction quality and thus it can be used to design efficient autonomic failure prediction for distributed systems.
文摘本文首先基于地面自动站、探空、雷达和卫星资料,开展局地分析预报系统(Local Analysis and Prediction System,LAPS)上海本地化研究,并结合2010—2014年夏季6个局地对流天气个例对其性能进行检验评估。结果表明:雷达径向风资料对LAPS风速分析影响较大,使分析场风速廓线与探空廓线的均方根误差缩小约7.66%;风云卫星资料能够改善LAPS温度和相对湿度,使分析场温度、相对湿度廓线与探空廓线的均方根误差分别缩小约9.09%和14.01%;探空气球飘移对本文LAPS分析场检验影响不明显。进一步将LAPS分析场用于2011年8月13日、2014年8月4日两次局地对流个例分析表明:LAPS高时空分辨率的分析场能够反映中小尺度天气系统的时空变化,在天气尺度背景并不十分有利于对流生成的情况下,热岛、海陆风环流的形成和持续对上海夏季局地对流天气的发生和发展起到关键作用。
文摘针对Local Analysis and Prediction System(LAPS)融合我国新一代多普勒雷达基数据时产生的资料空白问题,设计采用最大值和距离指数权重拼图方法来改进LAPS原有的最近邻居法,并且尝试通过最小二乘法来模拟静锥区的反射率值。试验结果表明,最大值法和距离指数权重法能够充分发挥多部雷达观测反射率的效能,有效地改善高仰角之间的资料空白现象,对静锥区也有一些的填补,特别是在对流层中层。最小二乘法拟合静锥区反射率试验取得了一定的效果,能够较好地拟合静锥区周围观测资料比较多的情况。该研究改善了LAPS同化国产多普勒雷达资料的能力,提高了多部雷达观测的利用效能,将会对LAPS分析产生积极的影响。
