Application Migration Scheduling Using Dependency Idle Windows
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Solution Overview
Problem
Migrating applications in computing environments often requires significant manual effort and downtime, affecting dependent applications and disrupting system functionality.
Innovation Solution
A method and system that identify applications to be migrated and their related applications, analyze optimal migration times based on idle and load times, and place them in maintenance mode to minimize disruption, followed by migration and removal from maintenance mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual migration steps are performed by system administrators, then migration can be executed, but significant time and manual effort are required
Solution Approach 1:
The system performs self-service by automatically detecting application relationships, analyzing idle times, determining optimal migration schedules, and executing migrations without requiring manual intervention from system administrators. The migration system autonomously manages the entire migration process.
Solution Approach 2:
The system performs preliminary actions by pre-analyzing application dependencies and idle time patterns before migration, determining optimal migration windows in advance, and preparing migration sequences that minimize disruption. This preliminary planning enables automated execution without manual coordination.
2Reliability
If application is taken off-line for migration, then migration can be performed, but dependent applications are affected and system functionality is disrupted
Solution Approach 1:
The system performs preliminary analysis of application relationships and idle time patterns to determine optimal migration windows. By pre-identifying when applications are least active and analyzing dependency chains, the system schedules migrations to minimize disruption to dependent applications.
Solution Approach 2:
The system dynamically adjusts migration timing based on real-time analysis of application usage patterns and idle times. The optimal migration time is determined by analyzing current system state and adapting the migration schedule to avoid periods of high activity, thereby minimizing impact on dependent applications.
3Loss of time
If migration is performed during active usage periods, then downtime is reduced, but application performance and stability are affected
Solution Approach 1:
The system pre-analyzes idle time patterns and application usage historical data to identify optimal migration windows. By scheduling migrations during periods of naturally low activity that have been identified in advance, the system achieves both minimal downtime and maintained performance.
Solution Approach 2:
The system utilizes periodic idle time periods of applications to schedule migrations. By analyzing recurring idle patterns and scheduling migrations during these periodic low-activity windows, the system achieves optimal timing that balances downtime minimization with performance maintenance.
Data Source
AI summary
Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data from one device or set of devices to another device or set of devices. In one or more embodiments, migrations involve obtaining relationship information with regards to the applications that will be migrated from one device to another device or set of devices. This relationship information is used to determine which applications and/or other system resources are affected by the migration, including those applications/system resources that are not being migrated. The migrations are performed in such a way to minimize inconvenience to the end users, by having the migration take place at a time when both the application being migrated, and related applications have reduced usage or idle time.