Dynamic SDIDA Pipeline Governance for Network Adaptability
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Solution Overview
Problem
Current network control systems lack effective governance and context-specific interactions between pipelines, particularly in dynamic environments such as packet transport networks, where static SDIDA pipelines are insufficient to handle changes like Denial-of-Service attacks, leading to reduced recall rates.
Innovation Solution
The implementation of dynamic SDIDA systems with specific approaches for interconnecting Sense, Discern, Infer, and Act components, enabling governance through a governing interface, allowing branching and merging of pipelines, and sharing sensing data across a mesh of pipelines, along with the ability to dynamically modify inputs and select infer engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static SDIDA pipelines are used for network control, then system simplicity is maintained, but adaptability to dynamic changes (such as DoS attacks) deteriorates, leading to reduced recall rates
Solution Approach 1:
The patent implements dynamic SDIDA pipelines that can adapt their structure and parameters in real-time based on network conditions. The system transitions from static to dynamic pipeline configurations, allowing the control applications to respond adaptively to changing traffic patterns and security threats while maintaining manageable complexity through automated governance.
Solution Approach 2:
The patent divides the control system into multiple independent control applications, each implementing its own SDIDA pipeline. This segmentation allows individual pipelines to be specialized for specific functions (e.g., security, traffic management) while the overall system gains adaptability through the collective behavior of multiple modular components.
2Reliability
If multiple context-specific SDIDA pipelines are implemented, then governance capability is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal governing interface that can manage multiple context-specific SDIDA pipelines. This governing interface provides standardized mechanisms for pipeline creation, modification, and coordination, allowing the system to handle complex multi-pipeline governance through a unified approach that reduces overall system complexity.
Solution Approach 2:
The patent introduces a governing interface as an intermediary layer between multiple control applications and the underlying infrastructure. This intermediary manages the complexity of coordinating multiple pipelines by providing standardized interfaces and automated governance mechanisms, isolating the complexity from both the upper-level control logic and lower-level implementation details.
3Adaptability or versatility
If pipeline branching and merging is enabled, then context-specific interactions are improved, but control application complexity increases
Solution Approach 1:
The patent implements dynamic pipeline routing that automatically branches and merges control applications based on real-time network context. The system dynamically determines which pipelines should be activated and how they should interact, allowing context-specific interactions without requiring manual configuration of complex pipeline topologies.
Solution Approach 2:
The patent pre-defines templates and patterns for pipeline branching and merging scenarios. By establishing common interaction patterns in advance, the system can handle complex contextual interactions by selecting and instantiating pre-designed pipeline configurations rather than creating complex interactions from scratch, reducing control application complexity.
Data Source
AI summary
Systems and methods include receiving information from a governed system having resources; implementing one or more context neutral or specific control applications that each is a pipeline of a plurality of functions to control the resources; utilizing the information as one input to a first function in the plurality of functions; utilizing inputs from one or more control applications as inputs to any of the plurality of functions; and causing actions on the resources based on outputs of a last function in the plurality of functions. The plurality of functions can include sensing, discerning, inferring, deciding, and causing the actions.