Invention Grant
- Patent Title: Multi-representation storage of time series data
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Application No.: US16124126Application Date: 2018-09-06
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Publication No.: US10558678B2Publication Date: 2020-02-11
- Inventor: Lars Dannecker , Gordon Gaumnitz , Boyi Ni , Yu Cheng
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Fountainhead Law Group PC
- Agent Moses Xie
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/248 ; G06F16/22 ; G06F3/06

Abstract:
A flexible approach for storing time series data, utilizes multiple representations in order to achieve optimization amongst various dimensions such as covered time period, accuracy, compression model, and storage medium. A first aspect selectively provides different representations for various portions of a time series along the time axis (horizontal). In this horizontal aspect, a first compression model may be applied to store data occurring during one period in a time series, while a different compression model is applied to store data during another period. In a separate (vertical) aspect, time series data over a same time period may be saved in multiple representations using different compression models. While increasing demands on memory, such vertical storage can afford efficient access for specific purposes (i.e., analytical). Storing time series data according to horizontal and/or vertical distributions, may be useful for applications such as data aging and the optimization of operator execution patterns.
Public/Granted literature
- US20190005102A1 Multi-representation Storage of Time Series Data Public/Granted day:2019-01-03
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