Serverless Microservice Cold-Start Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Serverless microservices experience significant cold-start latency due to the time it takes for containers to scale from zero instances to handle incoming requests, leading to increased response times and resource waste in microservice-based applications.
Innovation Solution
A method that proactively scales selected microservices from zero instances based on predefined rules applied to incoming requests or events, ensuring that only necessary microservices are activated, reducing the cumulative cold-start time and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If serverless microservices are deployed to reduce infrastructure complexity, then device complexity is reduced, but cold-start latency increases
Solution Approach 1:
The patent applies preliminary action by proactively scaling selected microservices from zero instances before incoming requests arrive. The system predicts future request patterns and pre-activates microservices in advance, so when requests actually come in, the microservices are already ready to handle them, eliminating cold-start latency while maintaining serverless infrastructure simplicity
2Reliability
If all microservices are scaled up to handle requests, then reliability is improved, but resource waste increases
Solution Approach 1:
The patent applies segmentation by dividing microservices into different categories based on their importance and request patterns. The system identifies critical microservices that should be proactively scaled versus non-critical ones that can wait. This selective segmentation allows the system to scale only the necessary microservices, improving request handling reliability for essential services while reducing resource waste for less critical ones
Solution Approach 2:
The system performs preliminary action by predicting which microservices will be needed based on request patterns and proactively scaling only those selected microservices before requests arrive. This prevents scaling unnecessary microservices while ensuring critical ones are ready, thereby improving reliability for essential services and reducing resource waste overall
3Adaptability or versatility
If microservices are scaled from zero instances, then adaptability is improved, but start latency increases
Solution Approach 1:
The patent applies preliminary action by proactively scaling selected microservices from zero instances before incoming requests arrive. The system predicts future request patterns and pre-activates microservices in advance, so when requests actually come in, the microservices are already ready to handle them, eliminating cold-start latency while maintaining serverless infrastructure simplicity
Data Source
AI summary
A process or may reduce start latency of serverless microservices. The processor may detect an incoming request or event to an application in a serverless microservice environment. The incoming request or event may initiate a chain of invocations of one or more microservices of the application. The processor may select an amount of selected microservices from the one or more microservices of the application. The amount of selected microservices may perform a task of the incoming request or event. The task may apply one or more predefined application-specific rules to one or more elements of the incoming request or event to determine the amount of selected microservices. The processor may trigger scaling up activation of the one or more microservices of the application. The processor may invoke the one or more microservices of the application to match the amount of selected microservices.