Airborne Datacenter Fleet Scaling for Disaster-Resilient Computing

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Solution Overview

Problem

Traditional datacenters face challenges in scalability, as they require significant resources such as power, cooling, and dehumidification, leading to increased costs and risks from natural and man-made disasters, with limited flexibility to adapt to fluctuating demands or disasters.

Innovation Solution

An airborne datacenter (ADC) system comprising a datacenter assembly component (DAC) and a drive apparatus, which can be provisioned, configured, and decommissioned dynamically, allowing it to scale up or down in response to demand changes and operate as a standalone or extension to a land-based datacenter, using unmanned aerial vehicles (UAVs) for mobility and connectivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a datacenter is expanded to meet increased demand, then processing capacity is improved, but power consumption and cooling requirements increase

Engineering Contradiction:
Improveprocessing capacityVSAvoidpower consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic scalability by allowing datacenter components to be added or removed based on real-time demand. The system can dynamically provision computing resources, storage, and networking capabilities without permanent commitment, enabling the datacenter to adapt its capacity and energy consumption to match actual workload requirements.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The datacenter is divided into modular, independently deployable units or components. This segmentation allows individual components to be provisioned or deprovisioned based on specific demand requirements, rather than requiring expansion of the entire datacenter infrastructure, thus optimizing power consumption relative to actual needs.

Inventive Principle:
Principle #1Segmentation

2Productivity

If a datacenter is expanded to meet increased demand, then processing capacity is improved, but cooling and dehumidification requirements increase

Engineering Contradiction:
Improveprocessing capacityVSAvoidcooling and dehumidification resources
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts cooling and dehumidification resources to match the actual thermal load generated by active computing components. As components are added or removed based on demand, the environmental control systems automatically scale accordingly, preventing waste of cooling resources on inactive equipment.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The datacenter infrastructure is designed to automatically provision and deprovision support systems including cooling and dehumidification based on the presence and operational state of computing components, without requiring manual intervention to match environmental control capacity with actual computational load.

Inventive Principle:
Principle #25Self-service

3Reliability

If a datacenter is made fixed and reinforced to withstand disasters, then reliability is improved, but adaptability to fluctuating demands decreases

Engineering Contradiction:
Improvedisaster resistanceVSAvoidscalability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic datacenter architecture where infrastructure components can be rapidly deployed, relocated, or retired in response to changing demands or disaster scenarios. This dynamic capability allows the system to maintain reliability through redundancy while simultaneously adapting to fluctuating workloads, resolving the contradiction between fixed disaster-resistant infrastructure and flexible scalability.

Inventive Principle:
Principle #15Dynamics

4Productivity

If a datacenter maintains all equipment and utilities for peak demand, then capacity is improved, but operational costs increase

Engineering Contradiction:
Improvepeak capacityVSAvoidoperational costs
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system implements partial provisioning where datacenter resources are allocated based on actual demand rather than maintaining full peak capacity continuously. Resources are provisioned temporarily for peak demand periods and then deprovisioned, allowing the system to achieve peak capacity when needed while avoiding the continuous operational costs of maintaining unused capacity during lower-demand periods.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20230185299A1Airborne datacenter
Publication Date: 2023.06.15 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US20230185299A1 patent drawing
  • US20230185299A1 patent drawing
  • US20230185299A1 patent drawing

AI summary

An airborne datacenter (ADC) device includes a datacenter assembly component (DAC) and a drive apparatus. The DAC is configured to perform: provisioning the ADC including receiving, in response to a provision request, business functions and configuration information from a provisioning center connected to the ADC over a network and self-configuring the ADC with the business functions and the configuration information; datacenter operations with the ADC including receiving, from another ADC within a fleet of ADCs and over the network, processing results generated by the another ADC, performing the datacenter operations using the business functions and the processing results generated by the another ADC, and forwarding processing results of the datacenter operations to a land-based enterprise over the network; and decommissioning the ADC including transferring runtime information of the ADC, and deleting the runtime information from the ADC. The DAC includes digital processing equipment configured to perform the business functions.