Middleware Time-Based Triggers for Workflow Automation
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Solution Overview
Problem
Time-critical business opportunities are often lost as time-sensitive data languishes in middleware queues, as existing systems lack efficient mechanisms to manage and act on such data.
Innovation Solution
Implementing events with time-based triggers and rules within the middleware, which create and manage workflows to redirect or act on time-sensitive data, ensuring timely action and reducing queue backlog.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is queued in middleware for synchronization, then data consolidation and user-specific delivery are enabled, but time-sensitive data may languish in the queue causing loss of business opportunities
Solution Approach 1:
The system performs preliminary actions by creating time-based triggers and workflows when data is queued, proactively preparing to redirect or act on time-sensitive data before deadlines are missed. This prevents data from languishing in the queue by having pre-configured actions ready to execute automatically.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring queued data against time-based triggers and rules. When time-sensitive data approaches its deadline, the system detects this condition and automatically triggers workflows to redirect the data to alternative destinations or take corrective actions, ensuring timely processing.
2Reliability
If automated workflows are implemented to manage time-sensitive data, then timely processing and reduced queue backlog are achieved, but system complexity increases
Solution Approach 1:
The system segments the complex data management task into modular components: time-based triggers, rules engine, and workflows. Each component handles a specific aspect of time-sensitive data management, making the overall system more manageable and maintainable despite the increased functionality.
Solution Approach 2:
The patent introduces an intermediary layer (the rules engine and workflow system) that sits between the data queue and the synchronization process. This intermediary automatically manages time-sensitive data by evaluating rules and triggering appropriate workflows, reducing the need for complex manual intervention while maintaining system reliability.
Data Source
AI summary
Workflows are triggered for time-sensitive, user-specific data queued for delivery to a plurality of users. Responsive to time-sensitive data being queued, time-based triggers are created based at least in part upon content of the time-sensitive data. If the time-sensitive data is still in the queue when the time-based trigger expires, one-or-more rules are executed to change a destination of the time-sensitive data.


