Call Pipeline Flow Configuration for Low-Latency Service Orchestration
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Solution Overview
Problem
Current communication systems face significant system latency and wasteful use of computing resources due to the need for individual triggering of services for each voice call, leading to inefficiencies in processing large volumes of calls.
Innovation Solution
A pipeline flow management system that automatically triggers services in a logical order to generate outputs, allowing for parallel processing and dynamic adjustment of component configurations based on user accounts, reducing the need for redesign or redeployment of services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual services are triggered separately for each voice call, then each service can be executed independently, but system latency increases and computing resources are wasted
Solution Approach 1:
The patent combines multiple separate service triggers into a single pipeline flow that processes multiple voice calls simultaneously. The pipeline flow management system consolidates individual service executions into a coordinated sequence, allowing recording, transcription, and analysis services to operate in parallel across multiple calls rather than sequentially, thereby reducing system latency while maintaining execution reliability.
Solution Approach 2:
The system pre-configures pipeline flows with defined service sequences and triggers before voice calls occur. The pipeline flow management system establishes the logical order of services (recording → transcription → analysis) in advance, so that when calls arrive, services can be activated immediately without delays for configuration or setup, reducing response time while ensuring reliable execution.
2Device complexity
If individual services are triggered separately for each voice call, then service logic remains simple, but computing resources are wasted
Solution Approach 1:
The pipeline flow management system serves as a universal controller that manages multiple services (recording, transcription, analysis) across multiple voice calls simultaneously. This single system performs the functions previously requiring separate trigger mechanisms, reducing overall system complexity while enabling efficient resource sharing and eliminating redundant service executions that waste computing resources.
Solution Approach 2:
The system dynamically adjusts pipeline flow execution based on call characteristics and service availability. The pipeline flow management system can adapt the sequence and timing of services according to real-time conditions, optimizing resource allocation and preventing wasted computing cycles from services that may not be needed for particular calls, while maintaining manageable complexity through automated decision-making.
3Device complexity
If services are processed sequentially for each call, then processing logic is simple, but productivity decreases
Solution Approach 1:
The patent segments the voice call processing into distinct service stages (recording, transcription, analysis) that can be executed independently and in parallel. The pipeline flow management system divides the overall processing task into manageable segments, each handled by specialized services, allowing multiple calls to progress through different stages simultaneously and dramatically increasing throughput while keeping individual service logic relatively simple.
Solution Approach 2:
The system transitions from sequential one-dimensional processing to parallel multi-dimensional processing by introducing a pipeline flow management layer that orchestrates services across multiple calls simultaneously. This adds a management dimension that coordinates service execution without increasing the complexity of individual service logic, enabling high productivity through concurrent processing while maintaining simple, focused service implementations.
Data Source
AI summary
A method and system provide for receiving the first request to generate a pipeline flow, identifying a user account based on the first request, associating the pipeline flow with the user account, receiving a second request to process an action associated with the user account, and processing the action including applying the pipeline flow to select the component configuration based on the parameter.