18106005. DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION simplified abstract (Dell Products L.P.)
Contents
- 1 DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION - 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
DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION
Organization Name
Inventor(s)
DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18106005 titled 'DATA SELECTION FOR MULTI-PHASE FILE-BASED DATA MIGRATION
Simplified Explanation
The patent application describes an apparatus that predicts write access count metrics for files to be migrated in a multi-phase data migration and selects subsets of files for migration in different phases based on these metrics.
- The processing device determines predicted write access count metrics for files to be migrated in a multi-phase data migration.
- Based on the predicted metrics, the device selects first and second subsets of files for migration in different phases.
- The first subset of files is migrated during the first phase of the data migration, while the second subset is migrated during the second phase.
Potential Applications
This technology could be applied in large-scale data migration projects where efficient allocation of resources is crucial.
Problems Solved
This technology helps optimize the data migration process by prioritizing files based on predicted write access count metrics, leading to a more efficient and organized migration.
Benefits
The benefits of this technology include improved performance in data migration projects, reduced migration time, and better resource utilization.
Potential Commercial Applications
One potential commercial application of this technology could be in cloud migration services, where companies need to transfer large amounts of data between different storage systems efficiently.
Possible Prior Art
One possible prior art for this technology could be existing data migration tools that prioritize files based on size or type, but not on predicted write access count metrics.
What is the impact of this technology on data migration efficiency?
This technology significantly improves data migration efficiency by predicting write access count metrics for files and strategically selecting subsets for migration in different phases, leading to a more streamlined process.
How does this technology compare to existing data migration tools?
This technology stands out from existing tools by its unique approach of prioritizing files based on predicted write access count metrics, which helps optimize resource allocation and improve overall migration performance.
Original Abstract Submitted
An apparatus comprises a processing device configured to determine, for a given time period corresponding to an expected duration of a multi-phase file-based data migration from a source to a destination storage system, predicted write access count metrics for a plurality of files to be migrated as part of the multi-phase file-based data migration and to select, based at least in part on the predicted write access count metrics, first and second subsets of the plurality of files for migration during first and second phases of the multi-phase file-based data migration. The processing device is also configured to migrate the first subset of the plurality of files during the first phase of the multi-phase file-based data migration, and to migrate the second subset of the plurality of files during the second phase of the multi-phase file-based data migration.
