Structured Cabling Connectivity for Scalable Data Center Links
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Solution Overview
Problem
Existing cabling solutions for data centers, such as point-to-point fiber connections, face challenges in scalability, redundancy, and cost efficiency, limiting the ability to expand hardware footprints horizontally or vertically in hardware-to-hardware clustering networks.
Innovation Solution
A platform and language agnostic structured cabling connectivity module (SCCM) that uses predefined length data to establish communication links between data centers, allowing for automated and scaled high-speed connectivity, including a system with processors and memory to generate and implement cabling connections based on design and requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If point-to-point fiber connections are used for hardware-to-hardware clustering, then high-speed data connectivity is achieved, but scalability and ease of expansion are limited
Solution Approach 1:
The patent introduces structured cabling infrastructure as an intermediary between hardware components. Instead of direct point-to-point connections, cables are routed through structured cabling pathways, allowing flexible reconfiguration and expansion without replacing entire connection paths. This mediator enables both high-speed connectivity and scalability.
Solution Approach 2:
The cabling system is segmented into modular components (cable assemblies, connection points, pathways) that can be independently configured and expanded. This segmentation allows the system to scale by adding individual cable segments rather than requiring complete reconfiguration of existing connections.
2Reliability
If proprietary cabling solutions are deployed, then hardware-to-hardware clustering is supported, but device complexity and cost increase
Solution Approach 1:
The patent employs universal structured cabling standards that can support multiple hardware configurations and clustering scenarios. The same cabling infrastructure serves various connection types and topologies, reducing the need for proprietary, specialized cabling solutions and thereby lowering complexity.
Solution Approach 2:
The system allows flexibility in cabling parameters (length, routing, connection points) to be adjusted based on specific deployment requirements rather than enforcing fixed proprietary specifications. This parameter flexibility reduces complexity while maintaining reliable clustering support.
3Stability of the object's composition
If existing cabling restrictions are maintained, then current system configuration is preserved, but horizontal and vertical scaling capability is reduced
Solution Approach 1:
The structured cabling system provides dynamic reconfigurability where cable paths and connections can be adjusted as the system grows. The infrastructure supports both stable existing configurations and flexible future modifications, allowing the system to evolve from static to dynamic adaptability.
Data Source
AI summary
Various methods, apparatuses/systems, and media implementing a structured cabling connectivity module for providing high-speed data connectivity are disclosed. The system includes a processor; and a memory operatively connected to the processor via a communication interface. The processor receives requirements and design data for providing a complete end-to-end cabling connection among a plurality of data centers corresponding to a predefined network environment; generates connectivity link data based on the received requirements and design data; identifies a first predefined length data for cabling between two hardware components within a same data center zone; identifies a second predefined length data for cabling between a hardware component of a first data center zone and a hardware component of a second data center zone; and establishes a communication link among the plurality of data centers by implementing the identified first predefined length data and the second predefined length data.