Dynamic Endpoint Addition in Datacenter Migration Workflows
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Solution Overview
Problem
Existing methods for replicating or migrating computing environments require significant manual effort, time, and coordination due to the complexity of managing priorities and adding new endpoints during ongoing migration workflows.
Innovation Solution
A method and system for dynamically adding new endpoints to a migration workflow by prioritizing and integrating them into the existing workflow, allowing for simultaneous execution with ongoing migration jobs based on priority thresholds, thereby reducing manual intervention and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual coordination is used to manage migration workflows, then reliability is improved, but productivity deteriorates
Solution Approach 1:
The system automatically manages migration workflows by self-evaluating priority thresholds and self-coordinating the addition of new endpoints without requiring manual system administrator intervention. The workflow engine autonomously determines whether to pause or continue based on priority comparisons, eliminating the need for human coordination while maintaining reliable migration execution.
2Measurement precision
If manual steps are performed during migration, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent replaces manual mechanical coordination steps with an automated evaluation mechanism that compares priority values using logical operations. The system automatically evaluates whether new endpoint priorities exceed existing workflow priorities and executes相应的 pause or continue actions, eliminating time-consuming manual intervention while maintaining precise priority-based decision-making.
3Adaptability or versatility
If the workflow pauses for new endpoint addition, then adaptability is improved, but duration of action increases
Solution Approach 1:
The migration workflow dynamically adjusts its execution state based on real-time priority evaluations. When a new endpoint is added, the system automatically compares its priority against the workflow's minimum priority threshold and dynamically transitions between paused and continuing states. This dynamic adaptation allows the workflow to accommodate new endpoints efficiently without unnecessary prolonged pauses, optimizing both adaptability and duration.
Data Source
AI summary
Embodiments described herein relate to a method for new endpoint addition. The method may include receiving, during execution of a migration workflow, a request to add a new endpoint to the migration workflow. The execution of the migration workflow includes performing a first migration job associated with a first consistency group and assigned a first priority; making a first determination that the first priority is higher than a priority threshold; based on the first determination, completing the first migration job; performing, after completing the first migration job, a new endpoint addition action set. The method may also include adding, based on the new endpoint migration job priority, the new endpoint migration job to a queue of remaining migration jobs of the migration workflow.


