Programmable Pipeline Device Profile Management
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Solution Overview
Problem
Programmable pipeline devices face challenges with storage limitations and time-consuming profile generation, as they produce a vast number of possible profiles that exceed storage capacity and require lengthy compilation processes, making it difficult to select the correct profile for specific use cases.
Innovation Solution
A method and system for creating and storing programmable pipeline device profiles, including a catalog for locating and retrieving profiles, which involves generating multiple profiles and metadata, storing them in a non-transitory computer readable medium, and selecting the appropriate profile based on user requests and use case parameters using a profile selection policy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If template-based program variation generation is used to reduce labor, then program generation efficiency is improved, but the number of program variations still exceeds storage capacity
Solution Approach 1:
The patent extracts only the essential configuration parameters and metadata from complete program variations, storing these compact representations instead of full programs. This allows the system to manage a vast number of program variations without proportionally increasing storage requirements, as only key parameters need to be stored rather than entire compiled programs.
Solution Approach 2:
The patent creates a universal template structure that can generate multiple program variations through parameter substitution. A single template with parameter placeholders can produce numerous specialized programs, reducing the need to store each variation separately while maintaining the ability to generate them on-demand.
2Adaptability or versatility
If comprehensive profile definitions are created to cover all use cases, then adaptability is improved, but compilation time increases
Solution Approach 1:
The patent performs preliminary compilation of program templates with parameter placeholders before runtime. The templates are pre-processed and validated, with only the parameter-specific portions needing compilation later. This separates the stable, reusable template structure from the variable parameter sections, reducing overall compilation time while maintaining comprehensive profile definitions.
Solution Approach 2:
The patent segments program definitions into templates and parameters, allowing independent processing. Templates can be compiled once and reused, while only parameter values need to be instantiated for each specific use case. This segmentation enables comprehensive coverage without proportionally increasing compilation time.
3Manufacturing precision
If manual program creation is used for each variation, then program precision is improved, but labor requirements increase
Solution Approach 1:
The patent implements self-service through automated template instantiation systems that generate specialized programs from templates by substituting parameters. The system automatically validates generated programs against the template structure, maintaining precision without manual intervention for each program variation.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system validates generated program variations against defined constraints and requirements. This automated validation ensures program accuracy comparable to manual creation, while the system learns from validation results to improve future generation accuracy.
Data Source
AI summary
A method for storage, retrieval, and use of programmable pipeline device profiles includes creating a plurality of different programmable pipeline device profiles and a catalog for locating and retrieving the profiles, each programmable pipeline device profile including compiled object code for configuring a programmable pipeline device to implement a network test or network visibility function and metadata describing the programmable pipeline device profile. The method further includes storing the catalog and at least a portion of the profiles in a non-transitory computer readable storage medium. The method further includes selecting, using the catalog, one of the profiles stored in the non-transitory computer readable storage medium. The method further includes using the profile to configure the programmable pipeline device for implementing the network test or visibility function.


