Storage Volume Data Copying for Cloud Bursting Efficiency
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Solution Overview
Problem
Existing cloud bursting techniques face inefficiencies in data migration and storage, leading to high billing costs and reduced processing efficiency due to unnecessary data retention in public clouds, especially when bursting is not executed or when large-capacity files with low access frequencies are migrated.
Innovation Solution
A computer system with a first storage apparatus providing a volume to a first computer and a second storage apparatus providing a corresponding volume to a second computer, where data is copied from the first volume to the second volume with an upper limit set, using a virtualization function to maintain high processing efficiency by prioritizing data transfer based on access frequencies and probabilities of cloud bursting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data is retained in the public cloud regardless of usage status, then data availability for cloud bursting is ensured, but storage costs increase due to extra billing
Solution Approach 1:
The patent applies local quality by differentiating data retention strategies based on data characteristics and usage scenarios. Frequently accessed data and data required for cloud bursting is retained in the public cloud, while less critical data is kept only in the private cloud. This selective retention approach ensures data availability for bursting operations while minimizing unnecessary storage costs in the public cloud.
Solution Approach 2:
The patent implements partial action by copying only the necessary portion of data to the public cloud rather than all data. An upper limit is set on the amount of data to be copied, and only data within this limit is transferred. This partial copying approach maintains sufficient data availability for cloud bursting while reducing public cloud storage costs by excluding unnecessary data.
2Reliability
If large-capacity files with low access frequency are migrated to public cloud, then data availability for bursting is improved, but storage efficiency decreases and billing costs increase
Solution Approach 1:
The patent applies local quality by evaluating data characteristics including access frequency and file size to determine retention location. Large-capacity files with low access frequency are identified and kept only in the private cloud, while smaller, frequently accessed data is copied to the public cloud. This differentiated strategy improves storage efficiency by avoiding unnecessary public cloud storage of large, rarely used files while maintaining data availability for bursting operations.
Solution Approach 2:
The patent implements partial action by setting an upper limit on the amount of data to be copied to the public cloud. This limit prevents large-capacity files from being migrated, ensuring that only essential, smaller data sets are transferred. This approach maintains storage efficiency by avoiding the high cost of storing large files in the public cloud while still providing sufficient data for bursting operations.
3Adaptability or versatility
If data is read from public cloud during normal operation, then cloud bursting capability is maintained, but processing efficiency decreases
Solution Approach 1:
The patent applies preliminary action by pre-copying necessary data from the private cloud to the public cloud before cloud bursting operations are needed. This advance data preparation ensures that when bursting is required, the data is already available in the public cloud, eliminating the need for time-consuming data transfer during critical operations and maintaining high processing efficiency.
Solution Approach 2:
The patent implements partial action by copying only the essential portion of data needed for bursting operations to the public cloud, rather than all data. This selective copying maintains cloud bursting capability while minimizing the amount of data that needs to be managed across clouds, thereby preserving processing efficiency during normal operations.
4Stability of the object's composition
If frequent access to private cloud data increases during public cloud task execution, then data consistency is maintained, but processing efficiency is reduced
Solution Approach 1:
The patent applies local quality by determining data retention location based on access patterns and bursting requirements. Data that is frequently accessed during both normal operations and bursting scenarios is retained in the public cloud, while data accessed only during normal operations remains in the private cloud. This differentiation reduces the frequency of cross-cloud data access and maintains processing efficiency while ensuring data consistency where needed.
Data Source
AI summary
Processing efficiency of a computer using a volume and processing efficiency of another computer using another volume corresponding to the volume can be maintained at high levels. In a computer system, a storage apparatus is able to provide a certain volume to a computer, and another storage apparatus provides data to the computer by causing a virtualization function to point to another volume from the certain volume and copying data from the other volume to the certain volume. An upper limit on the number of pages copiable from the other volume to the certain volume of the storage apparatus is set. A CPU of the other storage apparatus copies data in an amount equal to or smaller than the upper limit from a page among multiple pages of the other volume to a storage region corresponding to a page forming the certain volume of the storage apparatus.