Centralized Event Orchestration Platform for Multicomputer Processing
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Solution Overview
Problem
Existing computer systems face challenges in coordinating complex event data flows and optimizing technical operations, leading to inefficiencies in data management and performance.
Innovation Solution
A computing platform with multicomputer processing and centralized event orchestration receives event requests, determines sub-events, generates customized datasets, and sends orchestration commands to sub-event processing devices, updating master event datasets based on results, while validating data against event protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex event data flows are coordinated between multiple computer systems, then service coordination accuracy is improved, but system complexity and difficulty of implementation increase
Solution Approach 1:
An event orchestration computing platform is introduced as an intermediary system between event origination devices and sub-event processing devices. This platform receives event requests, determines event types and sub-events, generates customized datasets, and sends orchestration commands to coordinate the execution of sub-events across multiple computer systems, thereby improving coordination accuracy while managing system complexity through centralized control
Solution Approach 2:
The patent segments complex events into multiple sub-events that can be independently processed by different sub-event processing devices. Each sub-event has specific input and output data requirements defined in event protocols, allowing the system to break down complex coordination tasks into manageable units while maintaining overall service coordination accuracy
2Reliability
If data flows are coordinated across multiple computer systems, then service execution completeness is improved, but data management complexity increases
Solution Approach 1:
The event orchestration computing platform provides universal data management functionality across the entire system. It maintains master event datasets, generates customized datasets for different sub-events, validates data against event protocols, and updates master datasets based on sub-event results. This centralized multi-functional approach ensures complete service execution while managing data management complexity in one location
Solution Approach 2:
The system implements feedback mechanisms where sub-event processing devices send results datasets back to the event orchestration platform. The platform validates these results against output data requirements in event protocols and updates master event datasets accordingly. This feedback loop ensures complete service execution and maintains data consistency across the distributed system
3Measurement precision
If event requests are processed through multiple computing systems, then processing accuracy is improved, but processing time increases
Solution Approach 1:
The event orchestration computing platform performs preliminary actions by determining event types, identifying required sub-events, and generating customized datasets before sub-event processing begins. Event protocols define input data requirements and processing rules in advance. This preliminary preparation reduces processing time during actual event execution while maintaining high processing accuracy through pre-validat
Data Source
AI summary
Aspects of the disclosure relate to multicomputer processing of an event request from an event origination device with centralized event orchestration. A computing platform may receive, from an event origination device, an event request for an event. Subsequently, the computing platform may determine a sub-event associated with the event. Next, the computing platform may receive, from an event dataset customization engine, an event customized dataset generated for the sub-event. Then, the computing platform may generate, based on the sub-event associated with the event received from the event origination device, one or more event orchestration commands directing a sub-event processing device to execute the sub-event. Thereafter, the computing platform may receive, from the sub-event processing device, a results dataset. Subsequently, the computing platform may update, based on the results dataset, a master event dataset associated with the event.