Listening Agent for Distributed Data Collection Management
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Solution Overview
Problem
In distributed computing environments, managing data collection and performing periodic execution of problem determination tools across multiple systems is inefficient and error-prone, requiring manual intervention and travel to remote sites, especially as the number of managed systems grows, due to the need for multiple tools and complex data correlation.
Innovation Solution
A resident listening agent is implemented on each managed system to receive and execute process code from a management server, allowing periodic data collection and tool management without continuous connection, enabling remote data collection and analysis for enhanced problem determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a system administrator manually selects, launches, and correlates information from multiple problem determination tools, then comprehensive system diagnosis can be achieved, but the process becomes time-consuming and error-prone
Solution Approach 1:
The management server automatically performs problem determination activities by autonomously selecting, launching, and correlating data from multiple tools without requiring system administrator intervention. The system self-manages the entire diagnostic process, eliminating manual errors and saving time.
Solution Approach 2:
A single integrated management server performs multiple functions including tool selection, data collection, data correlation, and analysis across all managed systems. This universal approach replaces the need for administrators to manually coordinate multiple specialized tools.
2Extent of automation
If the management server sends messages to each distributed system at regular intervals for periodic execution, then problem determination code can be executed periodically, but the approach becomes limited as the number of managed systems grows
Solution Approach 1:
The system divides the management architecture into a central management server and distributed listening agents on each managed system. The listening agents locally handle periodic execution and data collection, eliminating the need for the management server to communicate with each system individually at every interval. This segmentation enables scalable periodic execution across any number of systems.
3Adaptability or versatility
If multiple problem determination tools are used to address specific problem classes, then comprehensive system coverage is achieved, but the complexity of correlating information from each tool increases
Solution Approach 1:
The management server merges data from multiple specialized problem determination tools into a unified correlation framework. It automatically correlates information across all tools and systems, presenting a consolidated view that maintains comprehensive problem coverage while eliminating the complexity of manual data correlation.
Data Source
AI summary
Aspects of a distributed computing environment with remote data collection management include a management server, and a plurality of computer systems networked to and managed by the management server. Each of the plurality of computer systems includes a listening agent to receive process code from a management server and to control the periodic execution of the process code to collect data from the plurality of computer systems. The periodic execution occurs without requiring a connection to be maintained between the plurality of computer systems and the management server. Further, the data collected includes data collected from problem determination activities.