Google llc (20240160375). GARBAGE COLLECTION FOR DATA STORAGE simplified abstract
Contents
- 1 GARBAGE COLLECTION FOR DATA STORAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GARBAGE COLLECTION FOR DATA STORAGE - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
GARBAGE COLLECTION FOR DATA STORAGE
Organization Name
Inventor(s)
Konstantinos Nikoloudakis of San Francisco CA (US)
Sven Koehler of Sunnyvale CA (US)
Simon Tyler Wise of New Hamburg (CA)
David Halladay Schneider of Mountain View CA (US)
GARBAGE COLLECTION FOR DATA STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240160375 titled 'GARBAGE COLLECTION FOR DATA STORAGE
Simplified Explanation
The patent application describes a method for reclaiming storage space in a storage environment by identifying data objects that can be deleted based on future storage costs and access windows.
- Aggregating data indicative of access to data objects
- Determining future storage costs for each data object
- Establishing access windows for data objects
- Identifying data objects for potential deletion based on cost and access window
- Notifying user device for feedback on deletion
- Generating instructions for deletion upon expiration of access window
Potential Applications
The technology described in the patent application could be applied in cloud storage services, data centers, and other storage environments where efficient management of storage space is crucial.
Problems Solved
This technology addresses the challenge of optimizing storage space by automatically identifying and deleting unnecessary data objects, thus reducing storage costs and improving overall system performance.
Benefits
The benefits of this technology include cost savings, improved storage efficiency, and streamlined data management processes.
Potential Commercial Applications
The technology could be commercialized in cloud storage platforms, data management software, and storage optimization tools to help businesses reduce storage costs and improve operational efficiency.
Possible Prior Art
One possible prior art for this technology could be storage management systems that use algorithms to optimize storage space by identifying and deleting redundant or obsolete data objects.
Unanswered Questions
How does the system ensure data security during the deletion process?
The patent application does not provide details on how data security is maintained when deleting data objects. This aspect would be important to address to ensure that sensitive information is not compromised during the deletion process.
What is the impact of this technology on data retrieval speed?
The patent application does not discuss how the deletion of data objects based on future storage costs and access windows may affect data retrieval speed. Understanding the potential impact on system performance would be essential for assessing the overall efficiency of the technology.
Original Abstract Submitted
methods, systems, apparatus, including computer programs encoded on computer storage media, for reclaiming storage space in a storage environment. in one aspect, the method includes actions of aggregating data that is indicative of access to one or more data objects, determining a future storage cost associated with each of a plurality of data objects, determining an access window for each of the plurality of data objects, identifying a data object based on (i) the future storage cost that satisfies a predetermined threshold and (ii) a data object access window, providing a notification to a user device that requests feedback from a user indicating whether the data object can be deleted, and in response to receiving data that indicates that the data object can be deleted, generating an instruction to cause deletion of the data object upon the expiration of the access window.
