Event Distribution Framework for Collaboration Environments
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Solution Overview
Problem
Current collaboration environments lack support for both pre-defined and dynamically defined events with varying payloads, and they do not provide seamless event distribution and subscription management with an easy-to-administer user interface, making them insufficiently general-purpose for many users.
Innovation Solution
A collaboration environment with a generic event distribution framework that supports both synchronous and asynchronous events, using two separate APIs to separate event producers from consumers, and allowing multiple data formats for event payloads, with features like event declaration, subscription management, and translation between languages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a collaboration environment supports both pre-defined and dynamically defined events with varying payloads, then the system's adaptability and versatility improve, but the device complexity increases due to the need for multiple data formats and event types
Solution Approach 1:
The patent implements a universal event distribution framework that can handle multiple event types (pre-defined and dynamic) and various data formats through a single standardized API interface. The framework uses a common event structure with flexible payload types, allowing it to accommodate different event scenarios without requiring separate systems for each event type, thus achieving multi-functionality while maintaining manageable complexity
Solution Approach 2:
The framework employs parameter-based event definitions where events are characterized by configurable parameters such as event type, payload format, and delivery mode (synchronous/asynchronous). By changing these parameters, the system can adapt to different event scenarios without structural modifications, enabling flexibility through parameter variation rather than system complexity
2Reliability
If synchronous event processing is implemented where the first consumer can modify event data, then the reliability and data accuracy improve, but the loss of time increases due to sequential processing requirements
Solution Approach 1:
The patent implements dynamic event processing modes that can switch between synchronous and asynchronous delivery based on event type and consumer requirements. For events requiring data modification, the system uses synchronous mode with sequential consumer notification, allowing data accuracy to be maintained while providing the option for asynchronous mode in scenarios where time is more critical than data modification, thus dynamically balancing reliability and speed
3Ease of operation
If separate APIs are used to separate event producers from consumers, then the system's ease of operation improves through clear interface separation, but the device complexity increases due to multiple API components
Solution Approach 1:
The patent divides the event distribution system into distinct API components: a producer API for event creation and publication, and a consumer API for event subscription and reception. This segmentation provides clear interface separation that improves ease of operation, as each API has a specific, well-defined purpose. The complexity is managed by ensuring these segmented APIs communicate through a standardized internal event format, preventing the need for complex integration logic
Data Source
AI summary
A collaboration environment provides a generic event distributing framework that can distribute both synchronous and asynchronous events. The distributed events may be pre-defined or dynamically defined. Further, the framework can support multiple data formats for the event payload. The collaboration environment relies on two separate APIs to separate event producers from event consumers.