View source for Dell products l.p. (20240126689). DYNAMIC TUNING OF GARBAGE THRESHOLD TO REDUCE UNRECLAIMABLE GARBAGE OVERHEAD simplified abstract

=DYNAMIC TUNING OF GARBAGE THRESHOLD TO REDUCE UNRECLAIMABLE GARBAGE OVERHEAD=


==Organization Name==

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


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

==Inventor(s)==

[[:Category:Yi Ye of Shanghai (CN)|Yi Ye of Shanghai (CN)]][[Category:Yi Ye of Shanghai (CN)]]

[[:Category:Kalyan C. Gunda of Bangalore (IN)|Kalyan C. Gunda of Bangalore (IN)]][[Category:Kalyan C. Gunda of Bangalore (IN)]]

[[:Category:Ao Sun of Shanghai (CN)|Ao Sun of Shanghai (CN)]][[Category:Ao Sun of Shanghai (CN)]]

==DYNAMIC TUNING OF GARBAGE THRESHOLD TO REDUCE UNRECLAIMABLE GARBAGE OVERHEAD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240126689 titled 'DYNAMIC TUNING OF GARBAGE THRESHOLD TO REDUCE UNRECLAIMABLE GARBAGE OVERHEAD

==Simplified Explanation==

The patent application describes a system that can determine correlations between stored garbage percentages, amounts of garbage in a block storage system, and estimated throughput for reclaiming garbage in the system. The system then uses these correlations to optimize garbage collection in the storage system.

* The system determines correlations between stored garbage percentages and amounts of garbage in a block storage system.
* Based on these correlations, the system optimizes garbage collection by determining a target reclamation throughput and corresponding stored garbage percentage.
* The system performs copy-forward garbage collection on blocks that meet specific criteria related to the stored garbage percentage.

== Potential Applications ==
This technology could be applied in various storage systems, such as cloud storage or database management systems, to optimize garbage collection processes and improve overall system performance.

== Problems Solved ==
This technology addresses the challenge of efficiently managing and reclaiming garbage in block storage systems, leading to improved system efficiency and performance.

== Benefits ==
The benefits of this technology include increased system efficiency, optimized garbage collection processes, and improved overall performance of block storage systems.

== Potential Commercial Applications ==
Potential commercial applications of this technology include cloud storage services, database management systems, and other storage solutions that can benefit from optimized garbage collection processes.

== Possible Prior Art ==
One possible prior art in this field is the use of garbage collection algorithms in computer systems to manage memory and storage resources efficiently.

== Unanswered Questions ==

=== How does this technology compare to existing garbage collection methods in terms of performance and efficiency? ===
The patent application does not provide a direct comparison with existing garbage collection methods, so it is unclear how this technology stacks up against current practices.

=== Are there any limitations or constraints to implementing this technology in different types of block storage systems? ===
The patent application does not address any potential limitations or constraints that may arise when implementing this technology in various block storage systems, leaving this question unanswered.


==Original Abstract Submitted==

a system can determine a first correlation between respective percentages of stored garbage and respective amounts of garbage of a block storage system based on determining the respective amounts of garbage among first blocks of the respective blocks that satisfy respective criterions of the respective percentages of stored garbage. the system can, based on the first correlation, determine a second correlation between an estimated throughput applicable to reclaiming garbage in the block storage system and the respective amounts of garbage of the block storage system. the system can, based on the first correlation and the second correlation and for a specified target reclamation throughput, determine a corresponding first percentage of stored garbage of the respective percentages of stored garbage. the system can perform copy-forward garbage collection on second blocks of the block storage system that satisfy a criterion defined with respect to the first percentage of stored garbage.



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