Data Edge Client Migration with Threat Monitoring
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Solution Overview
Problem
Existing data migration techniques face challenges such as delays due to warnings during validation, difficulty in managing large-scale data migrations across multiple systems, and the increasing complexity of identifying and responding to potential threats during the migration process.
Innovation Solution
Implementing a data edge client within an information handling system that performs validation prior to migration, receives data prioritization logic, transfers data based on prioritization, monitors for threats, and takes remedial actions, thereby enabling continuous migration even with warnings and enhancing security and management capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If validation warnings block the entire migration until addressed, then data integrity can be ensured, but migration time increases significantly
Solution Approach 1:
The patent segments the data migration process into multiple independent data streams or batches. When a validation warning is detected in one segment, only that specific segment is paused or flagged, while other segments can continue migrating. This allows the migration process to proceed partially without being completely blocked, thus reducing overall migration time while maintaining data integrity through selective validation.
Solution Approach 2:
The patent implements partial validation where not all validation warnings require complete migration cessation. Instead, the system can migrate critical data first and address warnings later, or migrate at reduced speed rather than stopping completely. This partial action approach reduces the time loss impact while still ensuring necessary data integrity checks are performed.
2Ease of operation
If a central server manages all data migrations, then coordination is simplified, but system complexity increases with the number of migrations
Solution Approach 1:
The patent segments the centralized migration management into distributed migration agents or edge clients. Each agent independently manages its own migration tasks locally, reducing the burden on a single central server. This segmentation maintains coordination capability while distributing complexity across multiple independent units, making the system more scalable and less complex overall.
Solution Approach 2:
The patent enables migration agents to autonomously manage their own migration processes without requiring constant central server intervention. Each agent can independently handle validation warnings, prioritize data streams, and coordinate with other agents, reducing the complexity burden on the central system while maintaining overall migration coordination through peer-to-peer communication.
3Productivity
If migration speed is increased, then productivity improves, but detection of threats becomes more difficult
Solution Approach 1:
The patent segments the data migration into multiple parallel streams or batches, allowing threat detection mechanisms to sample and analyze each segment independently. This segmentation enables the system to maintain high overall migration speed through parallel processing while providing sufficient detection granularity to identify threats, as each segment can be monitored separately without bottlenecking the entire migration process.
Solution Approach 2:
The patent implements continuous monitoring during ongoing migration operations rather than requiring migration pauses for threat detection. The system can detect threats in real-time as data streams migrate, allowing immediate response without stopping the migration process. This continuous action approach maintains productivity while ensuring threat detection capability through ongoing surveillance of migration traffic.
Data Source
AI summary
An information handling system may include at least one processor and a memory. The information handling system may be configured to implement a data edge client that is configured to migrate data from a source system to a target system by: performing validation prior to the migration; receiving data prioritization logic; transferring the data from the source system to the target system in accordance with the prioritization logic; monitoring for threats during the transferring; and in response to detecting a threat, performing a remedial action.