Dell products l.p. (20240202165). METHOD AND SYSTEM FOR PROACTIVELY MANAGING HORIZONTAL SCALING OF A NODE simplified abstract
Contents
METHOD AND SYSTEM FOR PROACTIVELY MANAGING HORIZONTAL SCALING OF A NODE
Organization Name
Inventor(s)
Parminder Singh Sethi of Ludhiana (IN)
Shelesh Chopra of Bangalore (IN)
Malathi Ramakrishnan of Madurai (IN)
METHOD AND SYSTEM FOR PROACTIVELY MANAGING HORIZONTAL SCALING OF A NODE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202165 titled 'METHOD AND SYSTEM FOR PROACTIVELY MANAGING HORIZONTAL SCALING OF A NODE
The abstract of the patent application describes a method for managing data replication by identifying data used by an API, tagging the data based on its usage level, obtaining a predicted probability of the usage level, making a determination of the data's importance and predicted probability, and replicating the data to a target device based on this determination.
- Identifying data used by an API and stored in a source device
- Tagging the data based on its usage level
- Obtaining a predicted probability of the data's usage level
- Making a determination that the data is important but has a low predicted probability of usage
- Replicating the data to a target device based on the determination
Potential Applications: - Data management systems - Cloud computing platforms - Backup and disaster recovery solutions
Problems Solved: - Efficient data replication - Optimizing storage resources - Improving data availability and reliability
Benefits: - Cost-effective data management - Enhanced data protection - Streamlined replication processes
Commercial Applications: Title: "Advanced Data Replication Management System" This technology can be used in various industries such as IT, telecommunications, and finance for optimizing data replication processes, improving data availability, and ensuring data reliability.
Prior Art: Readers can explore prior art related to data replication management systems, storage optimization techniques, and predictive analytics in the field of data management.
Frequently Updated Research: Stay informed about the latest advancements in data replication technologies, storage optimization strategies, and predictive analytics tools relevant to this method.
Questions about Data Replication Management: 1. How does this method improve data replication efficiency? This method enhances data replication efficiency by tagging and replicating data based on its importance and predicted probability of usage.
2. What are the potential cost savings associated with implementing this data replication management system? By optimizing data replication processes and storage resources, organizations can achieve cost savings in terms of storage infrastructure and maintenance.
Original Abstract Submitted
a method for managing data replication includes: identifying data being used by an application programming interface (api), in which the data is stored in a source device; tagging the data based on a usage level of the data by the api; obtaining a predicted probability of the usage level of the data; making a first determination that the data is tagged as important data and the predicted probability of the usage level of the data is low; and replicating, based on the first determination, the data from the source device to a target device.
