Automated Rack Placement Optimizes Cable Lengths in Dense Servers
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Solution Overview
Problem
The design of dense server environments in datacenters faces challenges in optimizing network and infrastructure component placement, leading to high cabling costs and errors in connectivity and capacity, resulting in significant material and labor costs due to ad hoc methods.
Innovation Solution
The implementation of a Component Automated Placement (CAP) tool that optimizes the configuration of populated racks to minimize cable lengths, adhere to power, cooling, and weight requirements, and optimize cable tray positions, thereby reducing the number of cable tray channels and improving network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If ad hoc methods are used for cable planning and network capability design, then design flexibility is maintained, but cable length accuracy and connectivity correctness deteriorate, resulting in massive re-cabling and significant material and labor costs
Solution Approach 1:
The patent replaces manual ad hoc cable planning methods with an automated computational system that uses algorithms to calculate optimal cable lengths and placements. The system substitutes human judgment with computer-based optimization algorithms that process rack layouts, component positions, and cable routing constraints to generate precise cable specifications without manual intervention.
Solution Approach 2:
The system enables self-service by automatically generating cable length calculations and placement recommendations based on input rack configurations. The automated tool allows network designers to input basic parameters and receive optimized cable planning results without requiring expert manual calculation or iterative adjustment, making the precision achievable through self-service automation.
2Reliability
If manual cable planning methods are used, then design flexibility is maintained, but connectivity correctness and capacity accuracy deteriorate, leading to errors that require massive re-cabling
Solution Approach 1:
The system incorporates feedback mechanisms by validating cable placements against rack constraints, power requirements, and cooling specifications. The automated tool checks calculated cable routes against multiple constraints and provides feedback on feasibility, allowing designers to adjust parameters and receive revised recommendations until an optimal valid solution is achieved, ensuring connectivity correctness before implementation.
Solution Approach 2:
The patent applies preliminary action by performing complete cable planning and validation calculations before any physical cabling begins. The system pre-calculates optimal cable lengths, routes, and placements based on finalized rack layouts, ensuring all connectivity requirements are satisfied before installation starts, thereby eliminating the need for time-consuming re-cabling corrections.
3Area of stationary object
If dense server configurations are deployed to reduce space, then space utilization improves, but cable management complexity and cabling costs increase significantly
Solution Approach 1:
The system applies parameter changes by optimizing cable lengths, routing paths, and placement parameters based on the specific dense rack configuration. The automated tool adjusts multiple parameters simultaneously - cable length, routing height, connection points - to minimize cable management complexity while maintaining the benefits of dense packing. The system calculates optimal parameter values that reduce overall cabling requirements in dense environments.
4Productivity
If automated placement tools are implemented, then cable length optimization and connectivity accuracy improve, but design tool complexity and implementation cost increase
Solution Approach 1:
The patent applies universality by designing an automated placement tool that performs multiple functions: cable length calculation, routing optimization, constraint validation, and placement recommendation. The single integrated tool handles various network configurations, rack types, and cable specifications through a unified interface, reducing the need for multiple specialized tools while maintaining high productivity through automated multi-functional capabilities.
Data Source
AI summary
Approaches presented herein enable optimization of a network and component configuration in a dense server environment. Specifically, an approach includes: constructing a plurality of populated racks, each selected so as to contain an optimized size and configuration of components constrained according to a set of user-selected requirements that specify a type, a quantity, and one or more characteristics of at least one of the set of components; optimizing a configuration of the populated racks to minimize a cable length between populated racks, the configuration adhering to, e.g., power requirements, cooling requirements, and weight requirements for the populated racks; and optimizing a position of a set of cable trays and corresponding junctions by reducing a number of cable tray channels associated with the cable length between populated racks. Taken together, these elements provide a repeatable approach for optimizing the number of cables, quantity of multiplexed connections, cable lengths, and switch/component placement.