17821999. DYNAMIC DATA AGGREGATION simplified abstract (International Business Machines Corporation)
Contents
DYNAMIC DATA AGGREGATION
Organization Name
International Business Machines Corporation
Inventor(s)
Xiao Ling Chen of Beijing (CN)
Cheng Fang Wang of Beijing (CN)
DYNAMIC DATA AGGREGATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17821999 titled 'DYNAMIC DATA AGGREGATION
Simplified Explanation
Embodiments of the present invention involve computer-implemented methods, computer program products, and computer systems that can identify and store performance data associated with long transactions, classify the stored performance data based on transaction types, and aggregate the stored performance data accordingly.
- The invention can identify performance data associated with long transactions.
- It can store the identified performance data.
- The invention can classify the stored performance data based on transaction types.
- It can aggregate the stored performance data based on the classification.
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- Potential Applications
- Performance monitoring in large-scale systems
- Transaction analysis in financial systems
- Resource optimization in cloud computing environments
- Problems Solved
- Efficient identification and storage of performance data
- Effective classification and aggregation of performance data
- Improved analysis of long transactions in systems
- Benefits
- Enhanced performance monitoring capabilities
- Streamlined transaction analysis processes
- Optimal resource allocation based on transaction types
Original Abstract Submitted
Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving performance data associated with records, identify whether the received performance data is associated with long transactions. Embodiments of the present invention can then, in response to determining that the received performance data is associated with long transactions, storing the performance data. Embodiments of the present invention can then classify the stored performance data according to types of transactions the performance data and aggregate the stored performance data based on the classification.
