View source for Dell products l.p. (20240126740). CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS simplified abstract

=CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS=


==Organization Name==

[[:Category:dell products l.p.|dell products l.p.]]


[[Category:dell products l.p.]]

==Inventor(s)==

[[:Category:Ofir Ezrielev of Beer Sheva (IL)|Ofir Ezrielev of Beer Sheva (IL)]][[Category:Ofir Ezrielev of Beer Sheva (IL)]]

[[:Category:Jehuda Shemer of Kfar Saba (IL)|Jehuda Shemer of Kfar Saba (IL)]][[Category:Jehuda Shemer of Kfar Saba (IL)]]

[[:Category:Amihai Savir of Newton MA (US)|Amihai Savir of Newton MA (US)]][[Category:Amihai Savir of Newton MA (US)]]

==CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240126740 titled 'CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS

==Simplified Explanation==

The patent application abstract describes a method for restoring data to a particular point in time by scanning a snapshot, identifying invalid data segments, finding valid versions of those segments, and restoring a set of valid data segments without restoring any invalid segments.

* Receiving a request to restore data to a specific point in time
* Scanning a corresponding snapshot to identify invalid data segments
* Finding the most recent valid version of each invalid segment
* Restoring a set of valid data segments based on the request

== Potential Applications ==
This technology could be applied in data recovery services, disaster recovery solutions, and backup systems.

== Problems Solved ==
This innovation solves the problem of restoring data accurately to a specific point in time without including any invalid segments.

== Benefits ==
The benefits of this technology include improved data integrity, faster data restoration processes, and reduced risk of data corruption.

== Potential Commercial Applications ==
The potential commercial applications of this technology could be in cloud storage services, data backup companies, and IT disaster recovery solutions.

== Possible Prior Art ==
One possible prior art could be traditional data restoration methods that may not have the capability to identify and exclude invalid data segments during the restoration process.

=== Unanswered Questions ===

=== How does this method handle large volumes of data during the restoration process? ===
The method does not specify how it handles large volumes of data during the restoration process. This could be a potential area for further exploration and optimization in real-world applications.

=== Are there any limitations to the types of data formats or storage systems that this method can work with? ===
The abstract does not mention any limitations regarding the types of data formats or storage systems that this method can work with. Further research or testing may be needed to determine the compatibility of this technology with different data environments.


==Original Abstract Submitted==

one method includes receiving a request to restore data to a particular point in time, scanning a snapshot that corresponds to the point in time, based on the scanning, identifying any invalid data segments pointed to by the snapshot, for each of the invalid data segments, identifying a most recent, valid, version of that segment, and based on the request, restoring a set of valid data segments. in this method, no invalid segments are restored.



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