Dell products l.p. (20240134657). SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS simplified abstract
Contents
- 1 SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS
Organization Name
Inventor(s)
Mark Malamut of Aliso Viejo CA (US)
Adam Brenner of Mission Viejo CA (US)
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 20240134657 titled 'SELF-HEALING DATA PROTECTION SYSTEM AUTOMATICALLY DETERMINING ATTRIBUTES FOR MATCHING TO RELEVANT SCRIPTS
Simplified Explanation
The patent application describes a system for timely remediation of issues in a data protection system by automatically evaluating scripts configured to address the issues. The system assigns a system impact score (SIS) to important attributes and uses a self-healing processing component to monitor the state of each attribute over time. Scripts are evaluated through repeated execution and attribute monitoring to determine which attributes are affected, and weights are assigned to aid in selecting scripts likely to remediate issues.
- System for timely remediation of issues in a data protection system
- Automatically evaluates scripts configured to address issues
- Assigns system impact score (SIS) to important attributes
- Monitors attributes over time using a self-healing processing component
- Evaluates scripts through repeated execution and attribute monitoring
- Assigns weights to affected attributes to aid in script selection
- Regularly updates scripts based on accurate list of attributes
Potential Applications
This technology could be applied in various industries where data protection and security are critical, such as finance, healthcare, and government sectors.
Problems Solved
- Timely remediation of issues in a data protection system - Automation of script evaluation for efficient problem-solving - Accurate selection of scripts based on attribute weighting
Benefits
- Improved data protection system performance - Reduced manual effort in addressing system issues - Enhanced security measures through automated remediation
Potential Commercial Applications
"Automated Script Evaluation System for Data Protection" could be used by cybersecurity companies, IT service providers, and organizations handling sensitive data to enhance their data protection systems.
Possible Prior Art
One possible prior art could be a system that automatically evaluates scripts for system maintenance in a different context, such as network monitoring or software updates.
Unanswered Questions
How does the system handle conflicting scripts that affect the same attribute?
The patent application does not specify how the system resolves conflicts between scripts that impact the same attribute. This could be a potential area for further clarification in the implementation of the technology.
What is the scalability of the system for large-scale data protection systems?
The scalability of the system for handling a large number of attributes and scripts in extensive data protection systems is not addressed in the patent application. Understanding the system's scalability could be crucial for its practical implementation in enterprise-level environments.
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.
