Multi-Endpoint Message Routing Under SMS Rate Limits
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Solution Overview
Problem
Existing communication systems, such as SMS and MMS, are limited by rate limits and messaging volume caps, making it difficult to efficiently communicate with a large number of customers within a given time window.
Innovation Solution
A system and method that utilizes a communication platform, router, endpoint inventory system, and management portal to intelligently distribute communication requests across a pool of telephony endpoints, allowing for the use of fallback endpoints and contextually appropriate endpoint selection to avoid rate limits and ensure consistent messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If SMS and MMS messaging systems are used to communicate with customers, then existing telecommunication infrastructure can be leveraged, but rate limits and messaging volume caps prevent efficient communication with large numbers of customers within a given time window
Solution Approach 1:
The system segments the single endpoint into multiple endpoints (first endpoint and second endpoint), distributing messaging loads across them. This allows the system to bypass rate limits imposed on individual endpoints while maintaining efficient communication with large numbers of customers.
Solution Approach 2:
The system combines multiple endpoints (first endpoint and second endpoint) into a unified communication system managed by the communication router. This merging enables the system to achieve higher aggregate messaging throughput while maintaining reliability through redundant pathways.
2Productivity
If multiple endpoints are used to overcome rate limits, then messaging throughput increases, but system complexity increases due to endpoint management and selection
Solution Approach 1:
The communication router acts as an intermediary that manages multiple endpoints and intelligently selects appropriate endpoints for each messaging request. This mediator handles the complexity of endpoint management, load distribution, and failover logic, shielding users from the underlying system complexity while enabling high throughput.
Solution Approach 2:
The system implements feedback mechanisms where the communication router monitors endpoint status, performance, and availability, dynamically adjusting endpoint selection based on real-time conditions. This feedback loop optimizes messaging throughput while automatically managing system complexity.
3Reliability
If fallback endpoints are implemented to ensure consistent messaging, then reliability improves, but device complexity increases due to additional endpoint configuration
Solution Approach 1:
The system performs preliminary configuration of multiple endpoints and establishes failover relationships before actual messaging operations begin. The communication router is pre-configured with knowledge of available endpoints and their capabilities, enabling reliable fallback behavior without requiring complex runtime decision-making or additional configuration during operation.
Data Source
AI summary
A system and method for a communication system that includes configuring a set of communication endpoints of an entity; distributing communication requests of an entity across the set of communication endpoints, comprising: receiving at least one communication request that specifies a set of destination endpoints; and for each of the set of destination endpoints, selecting a communication endpoint and establishing a communication with the destination endpoint from the selected communication endpoint.