Data integrity detection and correction

Active Publication Date: 2019-09-24
ZEBWARE AB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Benefits of technology

[0008]It is an object of the proposed technology to

Problems solved by technology

Data corruption in storage environments can have many different causes, such as hardware, network, disks, environmental, radiation, electrical, software and more, all leading to a data error in client applications.
In today's data environment where more and more focus is on distributed data and applications, this problem moves from more secure data centers (DCs) to small Internet of Things (IoT) devices and Internet.
To mitigate problems with data errors, DCs replicate the data over several DC sites to have copies of the data available at all

Method used

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Embodiment Construction

[0040]The present embodiments relate to a technology for error detection and correction of data during data reconstruction involving the use of a version of the exact Radon transform. The particular version is a discrete version referred to as a Mojette transform.

[0041]Storage servers today have large capacities to store data and the intense use of social and surveillance data boosts this need for high availability and distributed storage at low cost. Smaller devices, such as phones, smartphones, tablets and Internet of Things devices, IoT devices, also have a need for higher and higher performance when they generate more and more data to be transferred to stable storage in the cloud or into a private DC.

[0042]Data loss in any application is unacceptable and this drives the DC to secure the data by replication to other storages or DCs to, thereby, always have copies of the data. This makes it possible to reconstruct the data if data or storage is lost due to any type of circumstance. R

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Abstract

The proposed technology provides methods, devices and computer programs for performing data error detection and correction. It is provided a method for performing data error detection and correction. The method comprises the step S1 of providing multiple Mojette transform projections (pi,q,) obtained by applying an encoding Mojette transform on an input, or original, block of data elements or values. The method also comprises decoding S2 the multiple Mojette transform projections to form a reconstructed block of data elements or values. The method also comprises investigating S3 whether any of the decoded Mojette transform projections comprises at least one bin≠0 following generation of the reconstructed block, thus providing an indication that a data error has been detected in the reconstructed block. The method also comprises determining S4, if at least one bin≠0, a corrected reconstructed block of data elements or values based on the decoded Mojette transform projections. The proposed technology also provides devices and computer programs implementing the method.

Description

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Claims

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Application Information

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Owner ZEBWARE AB
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