Multi-dimensional query method of satellite remote sensing data on heterogeneous computing platform

A satellite remote sensing data and computing platform technology, applied in the field of remote sensing satellites, can solve the problems that restrict the real-time OLAP query processing performance of large data volume, long computing time, consumption, etc., to improve query processing performance, reduce hardware costs, and reduce demand. Effect

Pending Publication Date: 2021-01-26
NAT SATELLITE METEOROLOGICAL CENT
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Problems solved by technology

Satellite remote sensing data corresponds to a large-scale data cube. The OLAP query process requires a large amount of storage and computing resources, and consumes a long computing time.
[0003] Traditionally, da...

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  • Multi-dimensional query method of satellite remote sensing data on heterogeneous computing platform

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[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0030] Such as figure 1 As shown, a multi-dimensional query method for satellite remote sensing data on a heterogeneous computing platform according to an embodiment of the present invention includes:

[0031] S1: Distribute the remote sensing satellite multi-dimensional data set to the CPU-side database platform, GPU high-performance computing platform and distributed processing platform, configure the data set, divide the data set, and formulate the data set storage strategy;

[0032] Ste...

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Abstract

The invention discloses a multi-dimensional query method of satellite remote sensing data on a heterogeneous computing platform. The method comprises the following steps: carrying out data distribution on a remote sensing satellite multi-dimensional data set; optimizing a multi-dimensional index structure, standardizing original main keys, replacing the original main keys with continuous numericalvalue main keys, shielding semantic information of the main keys in the original dimensional data, updating foreign keys on an original fact table, and eliminating semantic information of multi-dimensional indexes of the fact data; carrying out distributed storage on the OLAP multi-dimensional data set oriented to the heterogeneous computing platform; discomposing an OLAP multi-dimensional data set query processing task for remote sensing data into three sub-tasks on three different computing platforms. By means of the method, the requirement for GPU memory capacity is reduced; the design issimple; the collaborative computing of the heterogeneous computing platform is realized, the hardware processing capability is fully utilized, the overall hardware cost is reduced, and the comprehensive OLAP query processing performance is improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing satellites, in particular to a multi-dimensional query method for satellite remote sensing data on a heterogeneous computing platform. Background technique [0002] Satellite remote sensing data has multidimensional attributes, corresponding to remote sensing observation values ​​in multiple dimensions such as time, orbit number, payload, channel, and position, and constitutes a typical multidimensional data set. In the process of data processing and data service, it is necessary to complete multi-dimensional query for remote sensing datasets to obtain relevant data subsets. Satellite remote sensing data corresponds to a large-scale data cube. The OLAP query process requires a large amount of storage and computing resources, and consumes a long computing time. [0003] Traditionally, database operations rely on general-purpose CPUs to perform OLAP query processing tasks. The number of CPU ...

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Application Information

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IPC IPC(8): G06F16/242G06F16/2453G06F16/2455G06F16/28
CPCG06F16/2433G06F16/2453G06F16/2455G06F16/283
Inventor 张宇张延松赵现纲林曼筠谢利子卫兰张战云国鹏张玺范存群
Owner NAT SATELLITE METEOROLOGICAL CENT
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