Cloud Desktop Hotspot Data Migration for Faster Roaming
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Solution Overview
Problem
Current cloud desktop migration methods face issues of long migration periods, high network bandwidth occupation, and poor user experience due to the migration of all user data, which is inefficient and wastes resources.
Innovation Solution
A cloud desktop data migration method that determines whether to migrate user data based on attribute information, identifies hotspot data using access popularity, and only migrates this data, reducing the volume of data transferred.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all user data is migrated during cloud desktop roaming, then data availability is ensured, but migration time increases and network bandwidth is excessively occupied
Solution Approach 1:
The patent segments user data into hotspot data (frequently accessed) and non-hotspot data (less frequently accessed) based on access popularity attributes. Only hotspot data is migrated during cloud desktop roaming, while non-hotspot data remains in the original location. This segmentation resolves the contradiction by ensuring data availability for frequently used files without migrating the entire data volume, thereby reducing migration time and network bandwidth occupation.
Solution Approach 2:
The patent applies partial action by migrating only the necessary portion of data (hotspot data with access popularity above a threshold) rather than all user data. This partial migration approach ensures that critical data is available for user continuity while avoiding the excessive action of migrating entire data sets, thus balancing data availability with migration efficiency.
2Reliability
If all user data is migrated during cloud desktop roaming, then data completeness is maintained, but network bandwidth occupation increases
Solution Approach 1:
The patent segments user data based on access popularity attributes into hotspot data and non-hotspot data. Only hotspot data is migrated during cloud desktop roaming, while non-hotspot data remains in the original location. This segmentation resolves the contradiction by ensuring data completeness for frequently used files without migrating the entire data volume, thereby reducing network bandwidth occupation.
Solution Approach 2:
The patent changes the parameter of data selection from 'all data' to 'data based on access popularity threshold'. By introducing this parameter change, the system migrates only data that meets the accessibility requirement, maintaining data completeness for essential files while significantly reducing network bandwidth consumption compared to migrating all user data.
3Productivity
If hotspot data is identified and migrated based on access popularity, then migration efficiency is improved, but data classification complexity increases
Solution Approach 1:
The patent implements self-service by having the system automatically identify and classify hotspot data based on pre-existing access popularity attributes and thresholds. The cloud desktop management system autonomously performs data classification and migration decisions without requiring manual intervention or complex user-configurable rules, thereby improving migration efficiency while keeping the classification mechanism simple and maintainable.
Data Source
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AI summary
The present application provides a cloud desktop data migration method, a service node, a management node, a server, an electronic device, and a computer-readable storage medium. The cloud desktop data migration method comprises: determining, according to attribute information of a cloud desktop logged in by a terminal, whether user data needs to be migrated, the attribute information of the cloud desktop logged in by the terminal being information determined according to acquired configuration information of the management node; when determining that the user data needs to be migrated, determining hotspot data according to access popularity corresponding to the user data; and migrating the hotspot data.