Event Processing System with Exponential Back-Off Retry
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Solution Overview
Problem
Traditional mobile app eventing systems face issues with reliably processing events, handling unprocessed events, preventing resource exhaustion, and adapting to new events, leading to disrupted processing and inefficiencies.
Innovation Solution
An event processing system that includes a transceiver, memory, and processor configured to retrieve, parse, and store events via an API, with notifications using exponential back-off and random jitter for subsequent processing prompts, ensuring efficient event handling and adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mobile app eventing systems are used, then the system structure is simple, but the reliability of event processing deteriorates due to inability to handle unprocessed events and resource exhaustion
Solution Approach 1:
The event processing system is segmented into distinct functional modules: event reception module, event storage module, event processing module, and retry management module. This segmentation allows each module to handle specific tasks independently, improving reliability without creating a monolithic complex system.
Solution Approach 2:
The system performs preliminary actions by storing events in a persistent database before processing them. This ensures that events are preserved even if the application closes or crashes, preventing data loss and enabling reliable retry mechanisms without requiring complex real-time processing infrastructure.
2Productivity
If events are continuously pushed to users, then event delivery completeness is improved, but resource exhaustion occurs and processing is disrupted
Solution Approach 1:
The system implements periodic action through exponential backoff retry mechanisms. Instead of continuously pushing events, the system attempts to deliver events at increasing intervals (e.g., 1 minute, 5 minutes, 30 minutes, 2 hours) after failures, reducing resource consumption while maintaining event delivery completeness.
Solution Approach 2:
The retry interval is made dynamic through exponential backoff, where the waiting period between retry attempts increases exponentially based on the number of previous failures. This dynamic adjustment optimizes resource usage by reducing retry frequency over time while still ensuring event delivery.
3Adaptability or versatility
If new clients are continuously added to the system, then system adaptability is improved, but existing clients experience processing disruptions
Solution Approach 1:
Each client has an isolated event processing queue and retry mechanism. When new clients are added, their events are handled independently without affecting existing clients' processing. This segmentation ensures system adaptability while maintaining processing stability for all clients.
Solution Approach 2:
The system creates independent copies of event processing contexts for each client. Each client's events, storage, and retry logic are replicated separately, allowing the system to scale to new clients without disrupting existing processing operations.
4Speed
If events are processed immediately upon receipt, then processing speed is improved, but events may be lost when applications close or disconnect
Solution Approach 1:
The system performs preliminary storage of events in a persistent database immediately upon receipt, before processing them. This preliminary action ensures events are not lost even if the application closes or disconnects, while processing can occur at appropriate speeds without data loss risk.
Solution Approach 2:
A persistent database acts as an intermediary between event reception and event processing. Events are first stored in this intermediary storage layer, which preserves them indefinitely, allowing processing to occur at optimal speeds without risking event loss due to application state changes.
Data Source
AI summary
A device for facilitating event processing is presented. The device includes a transceiver, one or more memories including an event processing model, and one or more processors. The processors retrieve a new event from an application programming interface (API). The processors then parse the new event to determine a parsed event and store the parsed event in the memories. After determining the presence or absence of an additional new event via the API, the processors transmit a notification for display to a user indicating the parsed event and prompting a user to process the parsed event, resulting in either a successful or a failure processing signal. Responsive to receiving a failure processing signal, the processors schedule a subsequent notification for transmission to the user device according to an event processing model by using an exponential back-off and a random jitter.


