Data-unit-based disaster recovery method for seismic data

A data unit and disaster recovery technology, applied in the field of network security, can solve the problems of time and calculation waste, the inability to realize the rollback recovery of the processing module, and the inability of the checkpoint to contain the status information of the processing module, etc.
CN102411520AInactive Publication Date: 2012-04-11UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2012-04-11
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a data-unit-based disaster recovery method for seismic data. In the method, for the characteristics of the seismic data, data unit information in the operation processing procedure is recorded in combination with the concept of a data unit based on a checkpoint rollback recovery technology, and is stored in a checkpoint; and if a certain computing node suddenly fails to cause operation execution failure on the computing node, a before-failure state is rapidly recovered to another node from the checkpoint and each data unit is subjected to the same operation according to the data unit information which is subjected to operation processing and recorded in the checkpoint. By the method, a seismic data processing platform is not required to execute operation on a failing node from the beginning, and can continue subsequent processing from the next data unit to be processed based on the last running only according to records.
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Description

technical field

[0001] The invention belongs to the technical field of network security, in particular to a disaster recovery method for seismic data. Background technique

[0002] Seismic data processing in the oil exploration industry has the characteristics of large data volume, intensive calculation, and complex business process. In the face of massive data such as seismic data, parallel processing is a better choice. After all, due to the large amount of data and the complex processing process, if serial processing is generally used, it will take several months, which is obviously unacceptable. . On the other hand, if a supercomputer is used for parallel processing, although it can effectively increase the speed of parallel processing, it is expensive, and for different processing modules, each parallel algorithm must be written in advance, even for different machines, or different version must rewrite the function, which is also unacceptable. The parallel processing...

Claims

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