View source for 18075773. SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS simplified abstract (Dell Products L.P.)

=SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS=


==Organization Name==

[[:Category:Dell Products L.P.|Dell Products L.P.]]


[[Category:Dell Products L.P.]]

==Inventor(s)==

[[:Category:Mark Malamut of Aliso Viejo CA (US)|Mark Malamut of Aliso Viejo CA (US)]][[Category:Mark Malamut of Aliso Viejo CA (US)]]

[[:Category:Adam Brenner of Mission Viejo CA (US)|Adam Brenner of Mission Viejo CA (US)]][[Category:Adam Brenner of Mission Viejo CA (US)]]

[[:Category:Arun Murti of Mission Viejo CA (US)|Arun Murti of Mission Viejo CA (US)]][[Category:Arun Murti of Mission Viejo CA (US)]]

==SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18075773 titled 'SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS

==Simplified Explanation==

Embodiments help timely remediation of issues in a data protection system by automatically evaluating scripts configured to address the issues. The system has a bounded list of possible attributes that are deemed important by system administrators. Each attribute is assigned a System Impact Score (SIS) along a defined scale. A self-healing processing component monitors the state of each attribute over time. The scripts are evaluated through repeated execution and use of the attribute monitoring to determine which attributes are affected by a script. Weights are assigned to each attribute affected by a script to aid in the selection of scripts most likely to remediate an actionable issue. Regularly performing script evaluation and attribute weighting allows for updating of scripts with an accurate list of attributes to overcome problems associated with manual updates.

* Automated evaluation of scripts for timely issue remediation in data protection systems
* Bounded list of important attributes with System Impact Scores
* Self-healing processing component monitors attribute states over time
* Scripts evaluated through repeated execution and attribute monitoring
* Weights assigned to affected attributes for script selection
* Regular script evaluation and attribute weighting for accurate updates

== Potential Applications ==
The technology can be applied in various industries such as cybersecurity, data protection, and network management.

== Problems Solved ==
This technology helps in automating the evaluation and selection of scripts for issue remediation, reducing manual effort and increasing efficiency in data protection systems.

== Benefits ==
The benefits of this technology include timely issue remediation, accurate script updates, improved system performance, and reduced human intervention in data protection processes.

== Potential Commercial Applications ==
Potential commercial applications of this technology include cybersecurity software, data protection tools, and network monitoring systems.

== Possible Prior Art ==
One possible prior art could be automated system monitoring tools that track system attributes for performance optimization.

=== Unanswered Questions ===

=== How does this technology handle complex issues that involve multiple attributes and scripts? ===
The technology evaluates each attribute individually and assigns weights based on their impact scores. It may need further development to handle complex issues that involve interactions between multiple attributes and scripts.

=== Can this technology be integrated with existing data protection systems seamlessly? ===
The integration process with existing systems may require customization and compatibility checks to ensure seamless operation without disruptions.


==Original Abstract Submitted==

Embodiments help timely remediation of issues in a data protection system by automatically evaluating scripts configured to address the issues. The system has a bounded list of possible attributes that are deemed important by system administrators. Each attribute is assigned a System Impact Score (SIS) along a defined scale. A self-healing processing component monitors the state of each attribute over time. The scripts are evaluated through repeated execution and use of the attribute monitoring to determine which attributes are affected by a script. Weights are assigned to each attribute affected by a script to aid in the selection of scripts most likely to remediate an actionable issue. Regularly performing script evaluation and attribute weighting allows for updating of scripts with an accurate list of attributes to overcome problems associated with manual updates.



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