Dynamic Service Mesh Routing via Adaptive Tables
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Solution Overview
Problem
Existing Service-Oriented Architecture (SOA) designs face challenges in scaling and orchestrating large numbers of services, particularly in dynamic environments, as traditional routing methods become inefficient and complex when handling numerous services.
Innovation Solution
A dynamic service mesh system that includes mesh points with a communications interface and a routing engine, which uses a routing table to determine the best service to route messages based on acceptance and rejection indications, automatically updating the table and incrementing fail counts for rejected services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional routing methods are used in SOA, then routing functionality is provided, but the system becomes inefficient and complex when handling large numbers of services
Solution Approach 1:
The patent segments the routing functionality by introducing mesh points that independently maintain routing tables and make routing decisions. Each mesh point handles routing for specific service groups, dividing the overall routing complexity into manageable segments rather than requiring a centralized routing system to handle all services.
Solution Approach 2:
The patent implements dynamic routing tables that automatically update based on service registration and message delivery outcomes. The routing tables adapt in real-time to changing service availability and performance, allowing the system to dynamically optimize routing paths without manual reconfiguration as services are added or removed.
2Adaptability or versatility
If services are added to scale the SOA architecture, then service capacity increases, but orchestration difficulty increases
Solution Approach 1:
The patent enables services to self-register with mesh points and automatically update routing tables. When a service is added to the architecture, it autonomously announces its availability and capabilities, and the routing system automatically incorporates it into the mesh, eliminating the need for manual orchestration configuration.
Solution Approach 2:
The patent implements feedback mechanisms where message delivery outcomes (success or failure) are reported back to the routing engine, which then updates the routing table accordingly. This continuous feedback loop allows the system to automatically learn and adapt to service performance characteristics as services are added or modified.
3Ease of operation
If manual routing configuration is used, then routing control is provided, but the system cannot adapt to dynamic service additions
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the mesh point infrastructure and routing table structures before services are added. The routing tables are pre-configured with the capability to store and manage service routing information, enabling automatic adaptation once services are introduced without requiring subsequent manual configuration changes.
Data Source
AI summary
An example method for routing a message in a dynamic service mesh includes receiving at a mesh point a first message from a sender service and determining, based on a routing table, whether the mesh point has previously received a second message from the sender service. When the mesh point is determined to not have received the second message from the sender service, the first message is routed to a target service in the dynamic service mesh. The method includes receiving an indication of whether the first message has been accepted by the target service and updating the routing table based on the indication. When the indication indicates that the first message has been rejected by the target service, the first message is routed from the mesh point to a second target service.