Modular Data Center Infrastructure for Dynamic Capacity Scaling

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Solution Overview

Problem

Data centers face challenges in efficiently managing and expanding their infrastructure to meet changing computing capacity needs, as existing infrastructure often requires significant time and resources to design, install, and modify, leading to excess capacity and inefficiencies.

Innovation Solution

Implementing a Just-In-Time (JIT) infrastructure installation system that incrementally adds infrastructure modules to match the computing capacity demands, using monitoring and distribution systems to identify deficits and install minimally sufficient infrastructure concurrently with rack computer systems, thereby optimizing resource allocation and reducing excess capacity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If infrastructure is installed based on design assumptions for expected server racks, then the data center can support initial computing capacity, but the infrastructure cannot adapt to actual server racks with different support requirements

Engineering Contradiction:
Improveinfrastructure support capacityVSAvoidinfrastructure adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic infrastructure allocation where computing capacity and infrastructure support are linked through virtualization technology. The infrastructure can be dynamically allocated to different server racks based on actual needs rather than static design assumptions. This allows the system to adapt to varying support requirements of different server racks while maintaining reliable support capacity.

Inventive Principle:
Principle #15Dynamics

2Productivity

If substantial infrastructure is installed to support increased computing capacity, then the data center can handle higher computing loads, but the installation process takes many months and requires substantial time and resources

Engineering Contradiction:
Improvecomputing capacityVSAvoidinfrastructure installation time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent employs preliminary virtualization setup and pre-configured infrastructure modules that can be rapidly deployed. By preparing virtualization environments and infrastructure components in advance as modular units, the system enables quick provisioning of computing capacity without requiring months of traditional infrastructure installation. The pre-configured modules can be deployed concurrently with server rack installation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The infrastructure is divided into discrete, modular components that can be independently deployed and scaled. This segmentation allows incremental infrastructure installation to match computing capacity needs, avoiding the need to install complete infrastructure systems months in advance. Each modular infrastructure component can be provisioned independently and rapidly deployed.

Inventive Principle:
Principle #1Segmentation

3Productivity

If infrastructure is modified to support newly installed server racks with greater support requirements, then the infrastructure can meet new computing demands, but the modification process is difficult and expensive when excess capacity is insufficient

Engineering Contradiction:
Improvecomputing capacityVSAvoidinfrastructure modification ease
Core Design Contradiction:
ProductivityVSEase of manufacture

Solution Approach 1:

The patent implements universal infrastructure modules designed to support multiple server rack configurations through virtualization. These multi-functional infrastructure components can serve different computing demands without requiring custom modifications for each server rack type. The universal modules can be dynamically reconfigured to meet varying support requirements, making infrastructure modification straightforward and cost-effective.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Reliability

If traditional infrastructure installation methods are used, then comprehensive support can be provided, but excess infrastructure capacity is created leading to resource inefficiency

Engineering Contradiction:
Improveinfrastructure supportVSAvoidresource efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent implements feedback mechanisms that continuously monitor actual computing capacity needs and dynamically adjust infrastructure allocation. This feedback loop prevents over-provisioning by matching infrastructure support exactly to demonstrated computing demands. The system learns from actual usage patterns and adjusts resource allocation accordingly, eliminating excess infrastructure capacity while maintaining reliable support for actual workloads.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11137563B2Flexible data center infrastructure distribution
Publication Date: 2021.10.05 AMAZON TECH INC
  • US11137563B2 patent drawing
  • US11137563B2 patent drawing
  • US11137563B2 patent drawing

AI summary

A data center includes various sets of infrastructure modules which each provide a particular type of infrastructure support to support computing operations in the data center. Separate sets of infrastructure modules can be installed incrementally based on incrementally changing support capacity for the corresponding type of infrastructure support in the data center. Such incrementally changing support capacity can be based upon support requirements of electrical loads, including rack computer systems, which are inbound to the data center. Where support capacity for a particular type of infrastructure support drops below a threshold, a quantity of additional infrastructure modules which provide the particular type of infrastructure support can be selected and installed to increase the support capacity. Separate sets of infrastructure modules can be selected and installed independently of each other, to independently adjust support capacity for separate types of infrastructure support, which can minimize excess support capacity at any given time.