Queue-Based Orchestration Simulation for Bottleneck Prediction
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Solution Overview
Problem
As distributed orchestration systems become more complex, it is challenging to predict bottlenecks and optimize design parameters for appropriate performance, especially at production scale.
Innovation Solution
The method involves simulating a distributed orchestration system using a simulation topology with queues replacing processing elements, identifying characteristics of the simulation, and modifying the actual system based on these characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the scope of automation increases and the complexity of the orchestration architecture increases, then the functionality and performance of the system improve, but it becomes increasingly challenging to predict bottlenecks and optimize design parameters
Solution Approach 1:
The patent applies preliminary action by performing simulation and analysis of the orchestration system architecture before actual deployment. The system uses a simulation engine to model the orchestration architecture and predict bottlenecks in advance, allowing designers to optimize the system before it is fully implemented, thus avoiding the difficulty of detecting bottlenecks in complex production systems.
2Productivity
If large and complex orchestration systems are implemented, then more functionality is achieved, but it becomes very hard to predict where bottlenecks will occur
Solution Approach 1:
The patent applies copying by creating a simulated model of the orchestration system that replicates the behavior and structure of the actual system. This simulation model allows for precise measurement and prediction of bottlenecks without affecting the real system, enabling accurate analysis of complex orchestration architectures.
Solution Approach 2:
The system uses feedback by analyzing the simulation results and using them to identify bottlenecks and optimize the orchestration architecture. The simulation engine provides feedback about system performance and potential bottlenecks, which are then used to refine the design before deployment.
Data Source
AI summary
Techniques for simulation of orchestration and automation are disclosed. These techniques include simulating a distributed orchestration system using a simulation topology including a plurality of queues used in place of processing elements in the distributed orchestration system. The techniques further include identifying a plurality of characteristics of the simulation topology, after the simulation, and modifying the distributed orchestration system based on the plurality of characteristics.