Oracle international corporation (20240126784). EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER simplified abstract
Contents
- 1 EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER - 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
EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER
Organization Name
oracle international corporation
Inventor(s)
Teck Hua Lee of San Mateo CA (US)
Jesus Elohim Martinez Castillo of Zapopan (MX)
Sujatha Muthulingam of San Ramon CA (US)
EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126784 titled 'EFFICIENT SPACE USAGE CACHE ON A DATABASE CLUSTER
Simplified Explanation
The patent application describes improved systems, computer program products, and methods for obtaining space usage information within a clustered database system. Some approaches provide an improved algorithm and structure that allows for computing the latest and accurate space usage with only in-memory operations.
- Improved systems, computer program products, and methods for obtaining space usage information within a clustered database system.
- Provides an improved algorithm and structure for computing the latest and accurate space usage with only in-memory operations.
Potential Applications
The technology could be applied in various industries such as finance, healthcare, e-commerce, and more where clustered database systems are used to manage large amounts of data efficiently.
Problems Solved
1. Efficiently obtaining space usage information within a clustered database system. 2. Computing the latest and accurate space usage with only in-memory operations.
Benefits
1. Improved accuracy and efficiency in space usage calculations. 2. Reduced reliance on disk operations for space usage information. 3. Enhanced performance of clustered database systems.
Potential Commercial Applications
Optimizing database performance, improving data management, enhancing system reliability, and reducing operational costs in industries that heavily rely on clustered database systems.
Possible Prior Art
Prior art may include existing methods for obtaining space usage information in database systems, algorithms for memory operations, and structures for managing data storage efficiently.
Unanswered Questions
How does this technology compare to existing solutions in terms of performance and accuracy?
The article does not provide a direct comparison with existing solutions in terms of performance and accuracy. Further research or testing may be needed to evaluate the technology's effectiveness in real-world scenarios.
What are the potential limitations or challenges of implementing this technology in different types of clustered database systems?
The article does not address potential limitations or challenges of implementing the technology in various clustered database systems. Further analysis or case studies may be required to understand the adaptability of the innovation across different platforms.
Original Abstract Submitted
described are improved systems, computer program products, and methods for obtaining space usage information within a clustered database system. some approaches provide an improved algorithm and structure that gives the ability to compute the latest and accurate space usage with only in-memory operations.
