Client-Side Performance Data Collection for Server Resource Reduction
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Solution Overview
Problem
In client-server systems, the centralized server faces inefficiencies and resource bottlenecks due to the need to collate and compute unformatted performance data from multiple clients with different operating systems, leading to significant compute and storage resource consumption and network overhead.
Innovation Solution
Implementing a client-side performance monitoring module that collects and organizes resource utilization data, generates reports in an OS-agnostic manner, and transmits them to a management node, thereby reducing the need for additional computation and sorting on the server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the centralized server collects and processes unformatted performance data from multiple clients, then comprehensive performance monitoring is achieved, but server compute and storage resources are significantly consumed
Solution Approach 1:
The patent segments the data processing function by introducing client-side agents that collect and pre-process performance data locally before transmission to the server. This divides the originally centralized processing task into distributed client-side collection and simplified server-side reception, reducing server resource consumption while maintaining monitoring capability.
2Reliability
If the centralized server collates and computes unformatted performance data from different operating systems, then comprehensive performance analysis is achieved, but the server becomes a bottleneck with significant resource consumption
Solution Approach 1:
The patent applies preliminary action by having client-side agents perform data collection, filtering, and formatting operations before transmission. The agents pre-process raw performance data into structured formats with relevant metrics extracted and organized, so the server receives ready-to-analyze data rather than unformatted raw data requiring extensive collation and computation.
3Reliability
If performance data is collected and transmitted from multiple clients with different operating systems, then comprehensive system monitoring is achieved, but network overhead increases
Solution Approach 1:
The patent applies local quality by having each client-side agent tailor the collected data to its specific operating system characteristics and performance relevance. The agents filter and format data according to local system properties, transmitting only relevant, structured information rather than generic unformatted data from all systems, thereby reducing network overhead while maintaining comprehensive monitoring coverage.
Data Source
AI summary
Techniques for optimized performance data collection at client nodes are disclosed. In one embodiment, a client node in a client-server environment may include at least one processing resource and a computer-readable storage medium having computer-readable program code embodied therewith. The computer-readable program code being configured to obtain resource utilization data associated with a plurality of processes running on the client node, determine a list of processes having resource utilization greater than a threshold based on the resource utilization data, organize the list of processes based on predetermined criteria and the resource utilization data, generate a report including a predefined number of processes from the organized list, and transmit the report to a management node for performance monitoring.