17966746. ORCHESTRATION SERVICE FOR DATABASE REPLICATION simplified abstract (Oracle International Corporation)
Contents
- 1 ORCHESTRATION SERVICE FOR DATABASE REPLICATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ORCHESTRATION SERVICE FOR DATABASE REPLICATION - 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
ORCHESTRATION SERVICE FOR DATABASE REPLICATION
Organization Name
Oracle International Corporation
Inventor(s)
Hoyong Park of San Jose CA (US)
Jagdev Dhillon of Menlo Park CA (US)
Alexander Kotopoulis of San Jose CA (US)
ORCHESTRATION SERVICE FOR DATABASE REPLICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17966746 titled 'ORCHESTRATION SERVICE FOR DATABASE REPLICATION
Simplified Explanation
The abstract describes techniques for implementing an orchestration service for data replication, where a recipe is stored with configuration parameters and executable logic for the replication operation. User input can update the configuration parameters, and the replication operation is initiated by processing the executable logic and making API calls to a data replication service.
- Explanation of the patent/innovation:
- A recipe is stored with configuration parameters and executable logic for data replication. - User input can update the configuration parameters. - The replication operation is initiated by processing the executable logic. - API calls are made to a data replication service for each sub-step of the operation.
Potential Applications
This technology can be applied in various industries such as cloud computing, data centers, disaster recovery, and data backup services.
Problems Solved
- Streamlining the data replication process. - Automating data replication tasks. - Ensuring consistency and accuracy in data replication operations.
Benefits
- Improved efficiency in data replication. - Reduced manual intervention. - Enhanced data protection and disaster recovery capabilities.
Potential Commercial Applications
Optimizing data replication services for businesses. Improving disaster recovery solutions for enterprises.
Possible Prior Art
One possible prior art could be traditional data replication methods that require manual configuration and intervention, leading to inefficiencies and potential errors in the replication process.
Unanswered Questions
How does this technology compare to existing data replication solutions in terms of performance and reliability?
This article does not provide a direct comparison with existing data replication solutions in terms of performance and reliability. Further research and testing may be needed to evaluate the technology's effectiveness in real-world scenarios.
What are the potential limitations or challenges in implementing this technology in different IT environments?
The article does not address potential limitations or challenges in implementing this technology in various IT environments. Factors such as compatibility, scalability, and security implications may need to be considered when deploying this technology.
Original Abstract Submitted
Techniques for implementing an orchestration service for data replication are provided. In one technique, a recipe is stored that comprises (1) a set of configuration parameters and (2) executable logic, for a data replication operation, that comprises multiple sub-steps. Each sub-step corresponds to one or more configuration parameters in the set of configuration parameters, which includes a first parameter that is associated with a default value and a second parameter that is not so associated. User input that specifies a value for the second parameter is received. The set of configuration parameters is updated to associate the value with the second parameter. The data replication operation is then initiated by processing the executable logic, which processing comprises, for each sub-step of one or more sub-steps, making an API call to a data replication service. In response to each API call, a response is received from the data replication service.
