Dynamic Data Replication Policy Adjustment in Virtualization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing data replication policies in networked virtualization environments are fixed and do not adapt to dynamic changes in system parameters, leading to inefficiencies such as underutilization or overutilization of resources due to fluctuations in resource consumption and data replication rates.

Innovation Solution

A method for dynamically adjusting between asynchronous and synchronous data replication policies based on load levels and replication history, allowing for real-time optimization of data replication policies to match current system conditions, such as shifting from synchronous to asynchronous or adjusting timing parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If synchronous data replication policy is used, then data loss is prevented, but system latency increases and resource utilization decreases

Engineering Contradiction:

Improvedata loss preventionVSAvoidsystem latency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements dynamic adjustment of data replication policies based on real-time system conditions. The system monitors system parameters and automatically transitions between synchronous and asynchronous replication modes, making the replication approach adaptive rather than static. This resolves the contradiction by using synchronous replication only when necessary for data safety while switching to asynchronous mode when performance is prioritized.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters (replication mode, timing intervals) based on system state. By adjusting the replication policy parameters dynamically according to monitored system conditions, the system optimizes the balance between data reliability and performance latency.

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If fixed data replication policy is used, then system simplicity is maintained, but resource utilization efficiency decreases under varying system conditions

Engineering Contradiction:

Improvepolicy management simplicityVSAvoidresource utilization efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent incorporates feedback mechanisms where system performance and resource utilization are continuously monitored. Based on this feedback, the system automatically adjusts replication policies to optimize resource usage. This resolves the contradiction by introducing adaptive control that improves productivity while maintaining manageable complexity through automated decision-making.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-adjustment of replication policies based on monitored system conditions without requiring manual intervention. The automated policy adjustment mechanism serves itself by monitoring its own performance and making optimizations, thereby improving resource utilization while keeping the system simple to operate.

Inventive Principle:

Principle #25Self-service

3Productivity

If asynchronous data replication policy is used, then system efficiency improves, but data loss risk increases

Engineering Contradiction:

Improvesystem efficiencyVSAvoiddata loss risk

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system dynamically selects between asynchronous and synchronous replication based on real-time conditions. When system stability is high and data changes are minimal, asynchronous replication provides efficiency. When volatility increases or data integrity becomes critical, the system transitions to synchronous replication to prevent data loss, thus resolving the contradiction adaptively.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The replication approach parameter (synchronous vs. asynchronous) is changed based on system state analysis. This parameter adjustment allows the system to optimize for efficiency when safe and switch to safety-critical mode when needed, resolving the productivity-reliability tradeoff.

Inventive Principle:

Principle #35Parameter changes

4Reliability

If synchronous data replication is implemented, then data consistency is guaranteed, but system resource consumption increases

Engineering Contradiction:

Improvedata consistencyVSAvoidsystem resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements dynamic replication policy selection that adjusts between synchronous and asynchronous modes based on monitored system conditions. This allows the system to guarantee data consistency only when necessary rather than continuously, thereby reducing overall resource consumption while maintaining reliability when needed.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The replication mode parameter is dynamically changed based on system state, allowing the system to switch from resource-intensive synchronous replication to lighter asynchronous replication when full consistency guarantees are not required, thus optimizing resource usage while preserving data consistency when critical.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10002173B1System and methods for dynamically adjusting between asynchronous and synchronous data replication policies in a networked virtualization environment

Publication Date: 2018.06.19 NUTANIX INC

AI summary

A method for dynamically adjusting between asynchronous and synchronous data replication policies in a networked virtualization environment, includes identifying a current data replication policy for a user virtual machine (VM) determining a load level by a source service VM associated with the user VM and calculating a desired data replication policy for the user VM based on at least the load level.