Distributed Storage Replication Using Checkpoint and Log Methods
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In distributed computing environments, replicating data between primary and secondary locations is resource-intensive and inflexible, particularly when minor changes require recopying all data or when communication barriers hinder seamless data synchronization.
Innovation Solution
A combination of replication methodologies is employed, including full-object replication for initial data transfer, delta-checkpoint replication to identify and transfer changes, and log-based replication to communicate data changes, with the option to switch to alternative methodologies if throughput thresholds are not met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full-object replication is used to replicate data from primary to secondary location, then data consistency and reliability are improved, but resource consumption and replication time increase significantly
Solution Approach 1:
The patent segments the replication process into three distinct phases: full-object replication for initial data transfer, delta-checkpoint replication for change detection, and log-based replication for continuous updates. This segmentation allows the system to use intensive full-object replication only when necessary (initial setup or after failures) while relying on more efficient delta and log-based methods for ongoing synchronization, thereby reducing overall resource consumption while maintaining data consistency.
Solution Approach 2:
The patent performs preliminary full-object replication to establish the initial state of data at the secondary location before switching to more efficient delta-checkpoint and log-based replication methods. This preliminary action ensures that the secondary location has all necessary baseline data, allowing subsequent replication operations to focus only on changes rather than transferring the entire dataset repeatedly.
2Reliability
If full-object replication is used to ensure data is replicated even for minor changes, then data reliability is improved, but replication time and resource usage increase
Solution Approach 1:
The patent dynamically switches between different replication methodologies based on the operational context. The system transitions from full-object replication to delta-checkpoint replication and finally to log-based replication as data synchronization progresses. This dynamic adaptation allows the system to maintain high reliability through full-object replication when needed while minimizing replication time by using more efficient methods during normal operation.
3Productivity
If log-based replication is used to communicate data changes continuously, then replication throughput is improved, but system complexity increases due to multiple replication methodologies
Solution Approach 1:
The patent implements a universal replication management layer that handles multiple replication methodologies (full-object, delta-checkpoint, and log-based) through a unified framework. This multi-functional approach allows the system to leverage the high throughput of log-based replication while containing complexity through standardized interfaces and a centralized coordination mechanism that manages transitions between different replication modes.
4Use of energy by moving object
If delta-checkpoint replication is used to identify changes since initial replication, then resource consumption is reduced, but implementation complexity increases
Solution Approach 1:
The patent introduces checkpoints as intermediary structures that capture the state of data at specific moments. These checkpoints serve as mediators between the primary and secondary locations, enabling the delta-checkpoint replication method to efficiently identify and transfer only changed data. The checkpoint mechanism simplifies the complexity of change detection by providing a standardized reference point that both locations can understand and utilize.
Data Source
AI summary
Embodiments of the present invention relate to systems, methods, and computer storage media for replicating data in a distributed computing environment utilizing a combination of replication methodologies. A full-object replication may be utilized to replicate a full state of an object from a primary data store to a secondary data store. A checkpoint created after initiating the full-object replication may be parsed to identify changes to the object that have been entered since initiating the full-object replication. This replication process is referred to as a delta-checkpoint replication methodology. Additionally, in an embodiment, a log-based replication methodology may be utilized. The log-based replication may communicate data from a log of the primary data store to the secondary data store. It is also contemplated in an exemplary embodiment that when the log-based replication fails to maintain a throughput threshold, one of the other replication methodologies may be initiated, at least temporarily.