Server Location Mapping for Rearranged Data Center Racks
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Solution Overview
Problem
Data processing systems face challenges in managing rearranged servers due to overheating during CPU-intensive tasks, which disrupt performance monitoring and efficiency, as server rearrangement disconnects them from sensors and makes tracking performance impossible.
Innovation Solution
A server location tracking management (SLTM) system that continuously monitors and reconfigures servers in a data processing system, using a control system and application to track server locations and sensor data, allowing for optimal and efficient performance by relocating servers based on environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If servers are rearranged to optimize environmental conditions and prevent overheating, then server performance and efficiency are improved, but the ability to track server locations and monitor performance is lost
Solution Approach 1:
The patent introduces physical tags attached to servers and corresponding virtual representations in a digital map as intermediary elements. These tags and map entries serve as mediators between the physical server locations and the monitoring system, enabling continuous tracking even when servers are rearranged. The tag acts as a persistent identifier that moves with the server, while the virtual map maintains the relationship between server identities and their current positions.
Solution Approach 2:
The patent replaces manual or mechanical tracking methods with an automated electronic monitoring system. Instead of physically tracking server positions through manual records or mechanical positioners, the system uses electronic tags, sensors, and software-based digital mapping to automatically detect and record server locations. This substitution enables seamless tracking of server rearrangements without disrupting performance monitoring.
2Reliability
If servers are fixed in position to maintain sensor connections and performance monitoring, then performance tracking is maintained, but servers cannot be rearranged to optimize environmental conditions during CPU-intensive tasks
Solution Approach 1:
The patent implements a dynamic system where server positions can change while maintaining continuous monitoring capability. The digital map is updated in real-time as servers are moved, allowing the system to adapt to new configurations. This dynamic approach enables servers to be rearranged for optimal environmental conditions while the monitoring system automatically adjusts to track their new positions, maintaining reliability without sacrificing adaptability.
Solution Approach 2:
The system continuously monitors server positions and environmental conditions, providing feedback that enables informed decisions about server rearrangement. The digital map and sensor data work together to provide real-time feedback on server locations and environmental status, allowing administrators to optimize server placement while maintaining monitoring coverage. This feedback loop ensures that performance monitoring reliability is preserved even as server configurations change.
3Temperature
If servers are rearranged during CPU-intensive tasks, then overheating is prevented, but the complexity of managing server configurations increases
Solution Approach 1:
The patent implements a self-updating digital map system that automatically tracks server positions without requiring manual configuration updates. When servers are moved, the system uses tags and sensors to detect position changes and automatically updates the virtual map and monitoring associations. This self-service capability eliminates the need for administrators to manually track and reconfigure server positions, reducing management complexity while enabling flexible server rearrangement for thermal management.
Data Source
AI summary
A system and method of managing configurations of rearranged servers in a data processing system (DPS). The method includes acquiring infrastructure data associated with a DPS including a first group of servers being monitored by a first group of sensors that generate a first set of sensor data and a second group of servers being monitored by a second group of sensors that generate a second set of sensor data. The method includes querying the DPS to acquire a plurality of network addresses associated with the first group of servers and the second group of servers. The method includes identifying a plurality of DPS locations of the first group of servers and the second group of servers. The method includes generating, based on the plurality of DPS locations, a server location map of the first group of servers and the second group of servers in the DPS.