Automated Synchronization Agent Configuration for Data Integration
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Solution Overview
Problem
In data integration devices, setting an optimal collection agent is challenging due to varying data characteristics and system environments, leading to inefficient use of resources and prolonged setup times, even for skilled system managers.
Innovation Solution
A system and method for setting an optimal synchronization agent according to workload, which includes an agent setting automation device with a user interface, storage unit, performance prediction module, and set value recommendation module to automatically determine optimal setting parameters such as polling period, buffer memory size, compression algorithm, and data waiting time, maximizing data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If default set values are used for collection agent, then system setup is simple, but agent execution efficiency is poor
Solution Approach 1:
The system automatically adjusts collection agent parameters (polling period, buffer size, thread count) based on workload characteristics and performance metrics, transforming static default values into dynamic optimized parameters that adapt to changing system conditions
Solution Approach 2:
The collection agent performs self-configuration by automatically monitoring system performance and adjusting its own parameters without requiring manual intervention from system administrators, enabling the system to optimize itself continuously
2Productivity
If optimal agent values are set using skilled system manager experience, then agent performance can be improved, but setup time increases significantly
Solution Approach 1:
The system replaces the mechanical process of manual parameter tuning by skilled administrators with an automated computational system that uses performance prediction models and algorithms to determine optimal parameters automatically
Solution Approach 2:
An automated agent configuration system acts as an intermediary between system administrators and collection agents, translating administrative requirements into optimized agent parameters through predictive modeling and automated reasoning
3Productivity
If collection agent parameters are manually optimized, then data collection performance improves, but system complexity increases
Solution Approach 1:
The collection agent autonomously monitors system performance metrics, evaluates different configuration parameters, and self-adjusts its settings without requiring complex external configuration systems or manual intervention
Data Source
AI summary
There are provided a system and a method for setting a synchronization agent. A system for setting an optimal synchronization agent according to a workload according to an embodiment includes: a data integration device configured to integrate and store data which is collected through a collection agent; an agent management server configured to manage the collection agent that periodically polls data from a data source and transmits the data to the data integration device; and an agent setting automation device configured to set an optimal agent set value related to collection and transmission of data of the collection agent.