SDN Control Plane Robustness Verification Framework
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current software-defined networks lack robustness verification methods for distributed control planes, particularly in handling controller and secure link failures, which affect performance and require effective failure recovery strategies.
Innovation Solution
A robustness verification method and apparatus that constructs a framework with failure scenarios and recovery strategies, using recursive algorithms and branch and bound methods to identify the worst failure scenario and verify utilization rates, ensuring the control plane's robustness and capacity expansion when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the control plane uses multiple distributed controllers to guarantee availability and extendability, then the system's reliability and adaptability are improved, but the complexity of verifying robustness under various failure conditions increases significantly
Solution Approach 1:
The verification framework segments the complex verification problem into distinct components: failure scenario generation, failure recovery strategy evaluation, and performance metric calculation. Each component is handled separately through dedicated modules, making the overall verification process more manageable and systematic
Solution Approach 2:
The system performs preliminary actions by pre-defining failure scenarios and recovery strategies before actual verification. The framework prepares a comprehensive set of potential failure conditions and corresponding recovery approaches in advance, allowing systematic evaluation without ad-hoc analysis during verification
2Reliability
If the control plane encounters controller or secure link failures, then the system's robustness is tested, but the number of potential failure scenarios becomes countless and difficult to model
Solution Approach 1:
The verification framework provides universal coverage by designing a multi-functional system that can handle various types of failures (controller failures, link failures, partial failures) through a unified approach. The failure scenario generation module creates comprehensive test cases that cover multiple failure modes simultaneously
Solution Approach 2:
The system implements feedback mechanisms where the results of failure scenario evaluations are used to refine and expand the verification process. The framework learns from each evaluated scenario and adjusts subsequent verification efforts to ensure comprehensive coverage of all potential failure conditions
3Adaptability or versatility
If different failure strategies are used to handle controller failures, then the control plane's adaptability is improved, but modeling the performance under various strategies becomes an open and difficult problem
Solution Approach 1:
The verification framework employs dynamic evaluation by assessing performance metrics under different failure recovery strategies in a systematic manner. The system dynamically calculates performance indicators such as utilization rates and response times for each strategy, enabling comparison and optimization without requiring complex analytical modeling
Data Source
AI summary
Provided are a robustness verification method and apparatus for a distributed control plane in a software-defined network, including constructing a robustness verification framework, where the robustness verification framework accommodates a failure scenario set and a failure recovery strategy set; selecting a failure recovery strategy, and querying a worst failure scenario under the failure recovery strategy; verifying a utilization rate of a biggest controller in the control plane under the combination of the worst failure scenario and the failure recovery strategy; and verifying the robustness of the control plane based on the utilization rate. The verification problem of the control plane is taken as a robustness optimization problem under different failure cases and failure recovery strategies. After the failure recovery strategy is selected, the worst failure scenario is obtained to determine whether the performance of the control plane satisfies requirements.