17837571. TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS simplified abstract (Microsoft Technology Licensing, LLC)
Contents
- 1 TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Shravya Thandra of North Bend WA (US)
Ana Monica Irimia of Adliswil (CH)
John Ronald Berkeley of Kenmore WA (US)
Fangfang Zhang of Seattle WA (US)
TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17837571 titled 'TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS
Simplified Explanation
The patent application describes a data processing system that identifies and resolves correctness issues in large computing systems with multiple datasets. Specifically, it focuses on the problem of datasets becoming out of sync due to errors, causing references in one dataset to become invalid.
- The system automatically identifies unattached items in a dependent dataset that reference items in a reference dataset that no longer exist.
- It achieves this by comparing the dependent dataset with the reference dataset.
- Once unattached items are identified, the system automatically deletes them from the dependent dataset.
- The system is designed to work with large computing systems that have multiple computing systems and datastores.
Potential Applications
- This technology can be applied in any large computing system that relies on multiple datasets and datastores.
- It can be particularly useful in systems where data references are frequently updated and errors can cause datasets to become out of sync.
Problems Solved
- The system solves the problem of datasets becoming out of sync in large computing systems.
- It addresses the issue of unattached items in a dependent dataset that reference items in a reference dataset that no longer exist.
- By automatically identifying and deleting these unattached items, the system ensures the correctness of the datasets.
Benefits
- The system automates the process of identifying and resolving correctness issues in datasets, saving time and effort for system administrators.
- It helps maintain the integrity of datasets by ensuring that references in dependent datasets are always valid.
- By automatically deleting unattached items, the system helps keep datasets clean and organized.
Original Abstract Submitted
A data processing system implements identifying one-way correctness issues in datasets of large computing systems including a first computing system and a second computing system. The second computing system is associated with a dependent dataset that includes references to data in a second datastore associated with the first computing system. These references updated in response to changes to the data referred to by these references. However, errors can cause the two datasets to become out of sync. The system herein implements automatically identifying unattached items in a dependent dataset that references items in a reference dataset that is no longer present in the reference dataset by comparing the dependent dataset with the reference dataset, and automatically causing the second computing system to delete the unattached items from the dependent dataset.
