Qualcomm incorporated (20240103725). LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE simplified abstract
Contents
- 1 LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE - 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
LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE
Organization Name
Inventor(s)
Anushka Mihir Nabar of Hyderabad (IN)
Arun Gothekar of Hyderabad (IN)
Kishore Batta of Visakhapatnam (IN)
LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240103725 titled 'LOADING MULTI-SEGMENTED SOFTWARE IMAGE FILES INTO MEMORY USING A NESTED FILE STRUCTURE
Simplified Explanation
The abstract describes a method for loading data from a non-volatile storage medium into a computing device using files with a nested structure.
- The method involves reading an outer file metadata portion from the storage medium into RAM.
- The outer file includes both the metadata portion and a data portion, which may be an inner file.
- The inner file metadata portion is then read from the inner file in RAM.
- Finally, the inner file data portion is read from the inner file in RAM based on the inner file metadata portion.
Potential Applications
This technology could be applied in various industries such as data storage, cloud computing, and software development.
Problems Solved
This method streamlines the process of loading data from a storage medium into a computing device, making it more efficient and organized.
Benefits
The benefits of this technology include faster data loading times, improved data organization, and enhanced overall performance of computing devices.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of data management software for businesses.
Possible Prior Art
One possible prior art for this technology could be the use of nested file structures in operating systems or database management systems.
Unanswered Questions
How does this method handle errors during the data loading process?
The abstract does not mention how errors, such as corrupted files or incomplete data, are handled during the data loading process. It would be important to know how the system deals with such issues to ensure data integrity and reliability.
Is there a limit to the size or complexity of the nested file structures that can be processed using this method?
The abstract does not specify if there are any limitations to the size or complexity of the nested file structures that can be handled by this method. Understanding the scalability and performance of the system with larger or more intricate file structures would be crucial for practical implementation.
Original Abstract Submitted
data may be loaded in a computing device from a non-volatile storage medium using files having a nested structure. an outer file metadata portion may be read from an outer file on the storage medium into ram. the outer file may include the outer file metadata portion and an outer file data portion. the outer file data portion may then be read from the outer file on the storage medium into the ram based on the outer file metadata portion. the outer file data portion may be an inner file. the inner file may include an inner file metadata portion and an inner file data portion. then, the inner file metadata portion may be read from the inner file in the ram. the inner file data portion may be read from the inner file in the ram based on the inner file metadata portion.
