专利名称:Systems and/or methods for statistical
online analysis of large and potentiallyheterogeneous data sets
发明人:Michael Cammert,Christoph Heinz,Jürgen
Krämer,Tobias Riemenschneider
申请号:US13616952申请日:20120914公开号:US09122786B2公开日:20150901
专利附图:
摘要:Certain example embodiments relate to using Complex Event Processing (CEP)
techniques for statistical analysis of cache behavior and parameters, e.g., in connectionwith large, potentially heterogeneous data sets (e.g., “Big Data”). A dedicated streammining operator registers a listener to a cache and receives notifications on cacheoperations. For selected element attributes, a first model estimates the probabilitydensity functions of the attribute values, delivering well-defined estimates of theattribute value distributions. A second model analyzes the time elements stay in thecache (“validity”). Validity is combined with the attribute value distribution. Ameaningful analysis model (Cache Element Model) can be derived by combiningadditional summary statistics for the validity with the attribute value distribution,describing how long elements stay in the cache for attribute values of a specific region,and how the values are distributed. It may be used to inform administrative tasks such as,optimization of cache parameters.
申请人:Michael Cammert,Christoph Heinz,Jürgen Krämer,Tobias Riemenschneider
地址:Wettenberg DE,Weimar-Niederweimar DE,Marburg DE,Schwalmstadt DE
国籍:DE,DE,DE,DE
代理机构:Nixon & Vanderhye PC
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