Connector Evaluation Using Usage Logs for Cloud Service Selection
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Solution Overview
Problem
Users face difficulty in selecting appropriate connectors for cloud services due to lack of knowledge about which connectors possess desired functions, leading to suboptimal selection.
Innovation Solution
An evaluation method and apparatus that analyzes usage logs to identify control software or connectors matching user-defined quality requirements, such as execution multiplicity, delay time, setting ease, and error handling, enabling informed selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users select connectors without knowledge of their functions, then selection process is simple and quick, but the selected connectors may not meet quality requirements leading to suboptimal performance
Solution Approach 1:
The system collects usage logs from multiple users and connectors, then feeds this information back to generate quality evaluations. The evaluation results are presented to users to guide their selection decisions, creating a closed-loop feedback system that continuously improves selection quality based on actual usage data.
Solution Approach 2:
The invention introduces an intermediary evaluation system that mediates between the vast number of available connectors and user selection needs. This intermediary process automatically analyzes usage logs, computes quality metrics, and presents filtered recommendations, eliminating the need for users to directly evaluate complex connector specifications.
2Measurement precision
If comprehensive usage logs are collected to enable accurate evaluation, then selection accuracy improves, but data processing complexity and storage requirements increase
Solution Approach 1:
The system extracts only the necessary quality evaluation metrics from comprehensive usage logs, rather than processing all available data. By identifying and extracting key parameters relevant to connector quality, the system achieves accurate evaluation while minimizing data processing complexity and storage requirements.
Solution Approach 2:
The invention transforms raw usage log data into meaningful quality evaluation parameters through systematic processing. By changing the form of data from raw logs to structured quality metrics, the system enables accurate connector evaluation while simplifying subsequent processing and analysis steps.
Data Source
AI summary
An evaluation apparatus receives an input of a quality requirement of control software that controls execution of a cloud service according to a user input. Next, the evaluation apparatus specifies control software whose usage record satisfies the quality requirement based on an execution log in which situations in which the control software was used are recorded. The evaluation apparatus then displays the specified control software.