Function Node Migration Using Call Chain Delay Data
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Solution Overview
Problem
Current function node migration methods in distributed systems rely on predictions, leading to potential discrepancies between predicted and actual resource usage, resulting in unnecessary migrations and suboptimal performance.
Innovation Solution
The method determines the to-be-migrated function node based on actual call chain data, specifically considering delay and interaction times between nodes to identify high-migration-degree intervals, ensuring that function nodes with high delays are migrated to reduce overall system delay and improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Force
If function node migration is based on prediction, then migration can be performed in advance, but unnecessary migrations occur due to prediction errors
Solution Approach 1:
The system implements feedback by continuously monitoring actual resource usage data from the distributed system and using this real information to validate and adjust migration decisions. The feedback loop compares predicted resource usage with actual usage, enabling the system to learn from prediction errors and improve migration accuracy over time while reducing unnecessary migrations.
Solution Approach 2:
The system performs preliminary actions by conducting prediction-based migration assessments before actual migrations occur. By evaluating predicted resource usage thresholds in advance and cross-validating with real-time data, the system prepares migration candidates proactively while maintaining the option to cancel or adjust migrations based on actual conditions, thus avoiding unnecessary migrations.
2Productivity
If function nodes are migrated frequently to optimize resource allocation, then resource utilization improves, but system stability deteriorates due to excessive migrations
Solution Approach 1:
The system applies dynamics by implementing adaptive migration thresholds that adjust based on system conditions and historical data. Rather than using fixed migration triggers, the system dynamically modifies migration criteria according to actual resource usage patterns, enabling flexible optimization of resource allocation while preventing excessive migrations that would compromise system stability.
Solution Approach 2:
The system provides beforehand cushioning by establishing migration cooldown periods and stability buffers that prevent rapid successive migrations of the same function node. These protective measures cushion against excessive migration activity, ensuring that resource allocation optimization does not lead to system instability from frequent relocations.
3Speed
If migration decisions are made without verifying destination server compatibility, then migration speed increases, but migration failures occur when destination servers cannot run the function node
Solution Approach 1:
The system performs preliminary compatibility verification between function nodes and destination servers before initiating migrations. By pre-checking server capabilities, resource availability, and compatibility requirements in advance, the system ensures that migration decisions are both fast and reliable, preventing migration failures while maintaining efficient deployment speed.
4Reliability
If all function nodes are monitored equally for migration, then comprehensive coverage is achieved, but computational complexity increases
Solution Approach 1:
The system applies local quality by implementing differentiated monitoring and analysis strategies for different function nodes based on their specific characteristics, criticality, and resource usage patterns. Rather than uniformly analyzing all nodes with the same computational intensity, the system applies targeted analysis depth appropriate to each node's local requirements, reducing overall computational complexity while maintaining comprehensive migration decision-making.
Data Source
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AI summary
This application provides a function node migration method and a related device, where the method includes: obtaining access related information of at least one call chain, where the access related information includes at least one of the following information: a delay of each of N intervals included in the at least one call chain, and a quantity of interaction times between function nodes in each of the N intervals, where N is a positive integer greater than or equal to 1; determining, based on the access related information, P key nodes from a plurality of function nodes that form the N intervals; and migrating the P key nodes. In the foregoing technical solution, a to-be-migrated function node is determined based on actual data of the call chain. Therefore, the to-be-migrated function node determined in the foregoing technical solution meets a migration requirement. Therefore, in the foregoing technical solution, the to-be-migrated function node can be determined based on an actual requirement, which reduces unnecessary migration.