- 专利标题: Decremental autocorrelation calculation for big data using components
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申请号: US14963226申请日: 2015-12-08
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公开(公告)号: US09979659B1公开(公告)日: 2018-05-22
- 发明人: Jizhu Lu
- 申请人: Jizhu Lu
- 申请人地址: US WA Redmond
- 专利权人: CLOUD & STREAM GEARS LLC
- 当前专利权人: CLOUD & STREAM GEARS LLC
- 当前专利权人地址: US WA Redmond
- 主分类号: H04L12/813
- IPC分类号: H04L12/813 ; H04L29/08
摘要:
The present invention extends to methods, systems, and computing system program products for decrementally calculating autocorrelation for Big Data. Embodiments of the invention include decrementally calculating one or more components of autocorrelation at a specified lag for an adjusted computation window based on the one or more components of an autocorrelation at the specified lag calculated for a previous computation window and then calculating the autocorrelation at the specified lag based on one or more of the decrementally calculated components. Decrementally calculating autocorrelation avoids visiting all data elements in the adjusted computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.
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