Data Center Server Positioning via RSSI Signal Strength
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Solution Overview
Problem
Determining the physical location of computing nodes in a large data center is difficult and time-consuming due to the lack of correlation between logical and physical addresses, hindering troubleshooting and maintenance processes.
Innovation Solution
A method involving a management computer processor that retrieves lists of switch aggregators and servers, pairs servers to measure received signal strength indication (RSSI) values, and uses these values to determine the physical positions of servers within rows, allowing for accurate grouping and mapping of physical locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If logical mapping is used to identify computing nodes, then network management and addressing is simplified, but physical location determination becomes difficult and time consuming
Solution Approach 1:
The patent introduces wireless access points and RSSI measurements as intermediary elements to bridge the gap between logical network addresses and physical locations. By measuring signal strength between servers and access points, the system can infer physical proximity without direct physical access or visual inspection, thus resolving the contradiction between ease of network management and speed of physical location determination.
2Measurement precision
If physical inspection methods are used to locate servers, then accurate physical location determination is achieved, but the process becomes highly time consuming and labor intensive
Solution Approach 1:
The patent replaces manual physical inspection methods with automated electronic measurements. Instead of physically walking through data centers to locate servers, the system uses wireless signal strength measurements (RSSI) between servers and access points to automatically determine physical locations, thereby maintaining measurement precision while dramatically reducing the time and labor required.
3Measurement precision
If comprehensive server pairing and RSSI measurement is performed across all servers, then accurate physical positioning is achieved, but system complexity and measurement overhead increases
Solution Approach 1:
The patent segments the measurement process by grouping servers into racks and performing measurements within each rack independently. This segmentation reduces the overall complexity by breaking down the large-scale problem into smaller, more manageable subsets, allowing accurate positioning to be achieved through localized measurements rather than requiring all servers to be measured simultaneously across the entire data center.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient and accurate determination of server positions within a data center, reducing the time and effort required for troubleshooting and maintenance by correlating logical addresses with physical locations based on measured RSSI values.
Implementation Method 1
Each of the servers are triggered to measure received signal strength indication (RSSI) values between the respective server pairs for the first switch aggregator
Data Source
AI summary
A method, an information handling system (IHS) and a data center location system for determining physical locations of devices in a data center. The method includes generating an initial grouping of servers into a plurality of racks based on the at least one of a MAC address or IP address. Each server in a first rack is paired with each other server in communication with a switch aggregator to generate server pairs. The server pairs are transmitted to the respective servers. Each of the servers are triggered to measure and transmit received signal strength indication (RSSI) values for its respective server pairs. Positions of the servers in rows are determined based on the RSSI values. An intermediate grouping of the servers in rows is generated based on the determined positions.