US 11,442,919 B2Granted

Data reliability analysis

AssigneeAccenture Global Services Limited

InventorsEduard Smits, Rob Goes, Simon Coombs

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Abstract

According to examples, data reliability analysis may include scanning a component of a data supply chain, and determining, based on the scanning, configurations of the component. Data reliability analysis may further include analyzing the configurations, and detecting, based on the analysis of the configurations, a change in at least one of the configurations. The change may be compared against a corresponding configuration rule to determine whether the change is a defect that affects consistency of data related to the component. In response to a determination that the change is the defect, a solution related to the defect may be determined based on the corresponding configuration rule. A configuration of the component may be modified, based on the solution related to the defect, to correct the defect that affects the consistency of the data.

Claims19

Dependent claims

A data reliability analysis system comprising:

a configuration scanner, executed by at least one hardware processor, to
determine a scanning frequency of a component of a data supply chain,
scan, based on the determined scanning frequency, the component of the data supply chain, and
determine, based on the scan of the component of the data supply chain, configurations of the component of the data supply chain;
a configuration analyzer, executed by the at least one hardware processor, to analyze the configurations of the component of the data supply chain, detect, based on the analysis of the configurations of the component of the data supply chain, a change in at least one of the configurations of the component of the data supply chain,
compare the change against a corresponding configuration rule pertaining to the component of the data supply chain, the configuration rule being a rule where an attribute that describes how a data stream originating from an input signal will be handled in a particular system should be compliant to determine whether the change is at least one defect that affects consistency of data related to the component, wherein an inconsistency occurs when a tag or the data stream has one or more attributes that include different values in different systems and a defect is a non-compliance of the change with the configuration rule, and
in response to a determination that the change is the at least one defect that affects the consistency of the data related to the component, determine, based on the corresponding configuration rule, a solution related to the at least one defect;
and
a configuration modifier, executed by the at least one hardware processor, to
modify, based on the solution related to the at least one defect, a configuration of the configurations to correct the at least one defect that affects the consistency of the data related to the component, wherein the at least one defect includes a plurality of defects,
determine whether a total number of the defects is greater than a specified threshold, and
based on a determination that the total number of the defects is greater than the specified threshold, increase the determined scanning frequency,
wherein the configuration analyzer is further to
record the modification to the configuration of the configurations to correct the at least one defect that affects the consistency of the data related to the component, and
bypass analysis related to the modification for future analysis of the configurations of the component of the data supply chain.

12 more elements

A method for data reliability analysis, the method comprising:

determining, by a hardware processor, a scanning frequency of components of a data supply chain;
scanning, based on the determined scanning frequency, the components of the data supply chain;
determining, based on the scan of the components of the data supply chain, configurations of the components of the data supply chain;
analyzing the configurations of the components of the data supply chain;
detecting, based on the analysis of the configurations of the components of the data supply chain, a change in at least one of the configurations of the components of the data supply chain and a change in a configuration of the data supply chain;
comparing the change in the configuration of the data supply chain against a corresponding configuration rule pertaining to the components of the data supply chain, the configuration rule being a rule where an attribute that describes how a data stream originating from an input signal will be handled in a particular system should be compliant, to determine whether the change in the configuration of the data supply chain is at least one defect that affects consistency of data related to the data supply chain, wherein an inconsistency occurs when a tag or the data stream has one or more attributes that include different values in different systems and a defect is a non-compliance of the change with the configuration rule;
in response to a determination that the change is the at least one defect that affects the consistency of the data related to the data supply chain, determining, based on the corresponding configuration rule, a solution related to the at least one defect that affects the consistency of the data related to the data supply chain;
modifying, based on the solution related to the at least one defect that affects the consistency of the data related to the data supply chain, the configuration of the data supply chain to correct the at least one defect that affects the consistency of the data related to the data supply chain, wherein the at least one defect includes a plurality of defects;
determining whether a total number of the defects is greater than a specified threshold,
based on a determination that the total number of the defects is greater than the specified threshold, increasing the determined scanning frequency;
recording the modification to the configuration to correct the at least one defect that affects the consistency of the data related to the data supply chain;
and
bypassing analysis related to the modification for future analysis of the configurations of the component of the data supply chain.

10 more elements

A non-transitory computer readable medium having stored thereon machine readable instructions for data reliability analysis, the machine readable instructions when executed cause a computer system to:

determine a scanning frequency of a component of a data supply chain based on a corresponding configuration rule related to the component of the data supply chain;
scan, based on the scanning frequency, the component of the data supply chain;
determine, based on the scan of the component of the data supply chain, configurations of the component of the data supply chain;
analyze the configurations of the component of the data supply chain;
detect, based on the analysis of the configurations of the component of the data supply chain, a change in at least one of the configurations of the component of the data supply chain;
compare the change against the corresponding configuration rule pertaining to the component of the data supply chain, the configuration rule being a rule where an attribute that describes how a data stream originating from an input signal will be handled in a particular system should be compliant to determine whether the change is at least one defect that affects consistency of data related to the component, wherein an inconsistency occurs when a tag or the data stream has one or more attributes that include different values in different systems and a defect is a non-compliance of the change with the configuration rule;
in response to a determination that the change is the at least one defect of a total number of defects that affects the consistency of the data related to the component, determine, based on the corresponding configuration rule, a solution related to the at least one defect of the total number of defects;
modify, based on the solution related to the at least one defect, a configuration of the configurations to correct the at least one defect that affects the consistency of the data related to the component;
record the modification to the configuration to correct the at least one defect that affects the consistency of the data related to the component;
and
bypass analysis related to the modification for future analysis of the configurations of the component of the data supply chain.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/814,849Filed 31 Jul 2015
Published: US 2017/0031969 A12 Feb 2017
Granted: 13 Sep 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06F 16/2365
Updating: ensuring data consistency and integrity
G06F 11/008
Error detection; Error correction; Monitoring: reliability or availability analysis
G06F 11/1448
Point-in-time backing up or restoration of persistent data: management of the data involved in backup or backup restore
G06F 11/3051
Monitoring: monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring…

Family

US 2017/0031969 A1Pre-grant publication · published 2 Feb 2017
US 11,442,919 B2This patent

From the US filing history. Foreign family members aren’t listed.

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