Time sequence data similarity query method based on memory calculation

A technology of time series and query methods, which is applied in computing, electrical digital data processing, special data processing applications, etc. It can solve the problems of increasing query delay and reducing query efficiency, achieving low space overhead and maintenance costs, and high query accuracy , Efficient time series similarity query effect

Active Publication Date: 2018-09-18
ANHUI UNIVERSITY OF TECHNOLOGY +1
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  • Time sequence data similarity query method based on memory calculation
  • Time sequence data similarity query method based on memory calculation
  • Time sequence data similarity query method based on memory calculation

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Embodiment 1

[0067] to combine figure 1 , a time series data similarity query method based on memory computing in this embodiment uses a cluster composed of distributed computing nodes, stores data through memory, and expands the computing power of the cluster by expanding distributed nodes. In this embodiment, time-series data is allocated to computing nodes according to corresponding steps, and index resident memory is formed according to corresponding steps. After the cluster receives a search request, each computing node is scheduled to search according to corresponding steps. The partitioning and index construction of each node's data are performed in local memory, and can communicate with other nodes or overall external submodules to aggregate, move and process data. The query process reads data on some of the nodes, guided by an in-memory index, eliminating the need to scan the entire cluster. This embodiment specifically includes the following steps:

[0068] (1) Data preprocessi...

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Abstract

The invention discloses a time sequence data similarity query method based on memory calculation, and belongs to the technical fields of distributed databases, memory calculation and information retrieval. According to the method, a cluster composed of distributed calculation nodes is used, data are stored through memory, and cluster calculation ability is expanded through expanding the distributed nodes; time sequence data are allocated to the calculation nodes, index resident memory is formed, and each calculation node is scheduled for searching after the cluster receives a searching request; partitioning and indexing of data of each node are all carried out in local memory, and communication can be carried out with the other nodes or overall external sub-modules; and data can be read atpartial nodes in a query process through guiding of an index residing in the memory without the need for scanning the entire cluster. For a time sequence given by a user at will, the method can quickly find out most of similar sequences from the cluster using the memory in a large scale for calculation.

Description

technical field [0001] The invention relates to the technical fields of distributed databases, memory computing and information retrieval, in particular to a time series data similarity query method based on memory computing. Background technique [0002] Time is a natural description of the objective existence of things, and almost all things have invisible or explicit time attributes. As the medium of this description, time-series data refers to a set of data arranged in chronological order, which has been widely used in various fields, such as exchange rate data in the foreign exchange financial market, temperature data in weather forecasts, and urban demographic data. , and genetic data in biomedicine, etc. [0003] The similarity query of time series is to find similar change patterns in time series data sets. It is an important query mode and has great significance for the classification, prediction and knowledge discovery of sequence data. According to different tec...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 秦锋茆凯成郑啸
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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