View source for 18046600. CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS simplified abstract (Dell Products L.P.)

=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 18046600 titled 'CYBER RECOVERY FORENSICS KIT - LIGHTNING RESTORE OF STORAGE SYSTEMS

==Simplified Explanation==

The abstract of the patent application 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 only valid data segments.

* The method involves receiving a request to restore data to a specific point in time.
* The snapshot corresponding to that point in time is scanned to identify any invalid data segments.
* For each invalid data segment, the most recent valid version is identified.
* Only valid data segments are restored based on the request, with no invalid segments being restored.

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

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

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

== Potential Commercial Applications ==
A potential commercial application of this technology could be in cloud storage services, where customers may need to restore data to a previous state without any invalid segments.

== Possible Prior Art ==
One possible prior art could be traditional data restoration methods that may not specifically focus on identifying and excluding invalid data segments during the restoration process.

=== Unanswered Questions ===

=== How does this technology handle large volumes of data during the restoration process? ===
This article does not provide details on how the method scales when dealing with a large amount of data. 

=== What are the potential limitations of this technology in terms of data types or storage systems? ===
The article does not address any potential limitations of this technology when it comes to specific data types or storage systems.


==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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