Automated Data Migration Scheduling System
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Solution Overview
Problem
Large-scale data migration projects face challenges such as complex planning, human resource-intensive processes, vulnerability to errors, and lack of real-time visibility, leading to high costs and inefficiencies.
Innovation Solution
A data migration system that utilizes a workstation with automated tools to generate a migration schedule based on bundling and sequencing rules, providing centralized management, integrated tracking, and command control, reducing human intervention and enhancing visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human workers are used to plan and oversee data migration projects, then the migration can be executed with human judgment and adaptability, but the project becomes vulnerable to human errors and incurs high labor costs
Solution Approach 1:
The system enables self-service automation where the data migration platform automatically performs planning, validation, and execution of migration projects without requiring human workers. The system self-manages the entire migration process including calculating migration time, generating plans, and executing transfers, thereby eliminating human errors while maintaining high automation levels.
Solution Approach 2:
The patent replaces the mechanical system of human workers with an automated computing system. The automated platform substitutes human planning and oversight functions with algorithmic processes that calculate migration parameters, generate migration plans, and execute data transfers, thereby eliminating human error susceptibility while achieving full automation.
2Ease of operation
If significant human resource talent is invested in data migration projects, then the projects can be overseen and managed, but the costs become overly expensive for the company to absorb
Solution Approach 1:
The system performs self-service automation where the platform automatically manages the entire data migration process without requiring human workers for planning or oversight. The system independently calculates migration time requirements, generates detailed migration plans, validates configurations, and executes data transfers, thereby eliminating human resource costs while maintaining ease of operation through automated management.
Solution Approach 2:
The automated data migration platform acts as an intermediary between the source and destination storage systems. It mediates the migration process by automatically handling all planning, validation, and execution tasks, replacing the need for human intermediaries (workers) while maintaining the ability to manage complex migration projects efficiently.
3Productivity
If data migration is performed manually with human workers, then the process can be flexible and adaptable, but the execution speed and efficiency are reduced
Solution Approach 1:
The patent replaces the mechanical system of manual human operations with an automated computing system. The automated platform substitutes human planning and execution functions with algorithmic processes that instantly calculate migration parameters, generate optimized migration plans, and execute data transfers at high speed, thereby achieving both high productivity and full automation.
Solution Approach 2:
The system enables self-service automation where the data migration platform automatically performs all migration tasks without human intervention. The system self-calculates migration time, self-generates migration plans, self-validates configurations, and self-executes data transfers, thereby achieving maximum automation levels while maintaining high execution speed and productivity.
Data Source
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AI summary
A data migration tool is disclosed for allowing a data migration project to be more efficient to execute from the client standpoint. The data migration tool is able to accomplish this by offering an efficient process for receiving the client's data migration requirements and generating a migration schedule based on the client's data migration requirements. The client's data migration requirements may identify one or more migration rules relating the data to be migrated as well as the client's scheduling conflicts. Based on the data migration requirements, the data migration tool can generate a data migration schedule. The data migration schedule may include a sequence in which data entities are migrated, as well as provide migration activities that describe the specific instructions for migrating a data entity.