Dynamic Storage Replication Policy Management
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Solution Overview
Problem
Existing data replication systems in storage networks are inflexible, as they rely on pre-defined replication policies based on fixed parameters, preventing administrators from adapting to changes in resources within the network.
Innovation Solution
Implementing a dynamic data replication system that allows for the generation of replication policies based on dynamically determined attributes associated with resources in the storage network, using a policy management module to specify and modify parameters and attributes as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-defined replication policies with fixed parameters are used, then data replication can be performed with simple policy configuration, but the system cannot adapt to changes in storage network resources
Solution Approach 1:
The patent implements dynamic replication policies where parameters such as replication targets, schedules, and priorities are no longer fixed but can change automatically in response to resource availability, load conditions, and storage capacity. The system continuously monitors network resources and adjusts replication parameters dynamically, transforming the static policy configuration into a dynamic adaptive system.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor storage network resources including capacity, performance metrics, and availability status. This feedback information is used to automatically adjust replication policy parameters, enabling the system to adapt to changing conditions without manual reconfiguration while maintaining manageable complexity through automated control loops.
2Ease of operation
If fixed parameters are used in replication policies, then policy implementation is straightforward, but administrators cannot modify replication behavior to accommodate resource changes
Solution Approach 1:
The replication system performs self-adjustment by automatically monitoring resource conditions and modifying replication parameters without requiring administrator intervention. The system autonomously detects resource changes, evaluates their impact on data consistency requirements, and adjusts replication behavior accordingly, thereby maintaining both ease of operation and data reliability.
Solution Approach 2:
The patent enables dynamic modification of replication policy parameters such as replication factor, target selection criteria, and scheduling parameters based on real-time resource assessment. These parameter changes are made automatically to maintain data consistency while adapting to evolving network conditions, eliminating the need for manual policy reconfiguration.
3Adaptability or versatility
If dynamic attributes are monitored and used for replication decisions, then the system can adapt to resource changes, but the complexity of policy management increases
Solution Approach 1:
The patent introduces intermediary components including policy management modules and resource monitoring agents that bridge the gap between raw resource data and replication decisions. These intermediaries abstract the complexity of dynamic attribute monitoring and processing, presenting simplified decision interfaces while maintaining full adaptability to resource changes through automated analysis and interpretation of monitored attributes.
Data Source
AI summary
Embodiments relate to systems and methods for dynamically replicating data from a primary resource to a secondary resource within a storage network. In particular, a user can select parameters that specify a policy framework. A policy management module can determine one or more attributes associated with resources of the storage network, and enter the one or more attributes into the policy framework to determine a replication policy. The one or more attributes can be determined at any point before or during a replication. The policy management module can then replicate the data according to the replication policy.