Virtual Instance Orchestration for Data Center Heat Harvesting

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Solution Overview

Problem

Existing orchestration methods for virtual operative systems in data centers fail to maximize heat harnessing efficiency and result in suboptimal use of hardware resources, leading to inefficient heat generation and resource wastage.

Innovation Solution

A system and method that involves networking multiple host computers, estimating heat rates for virtual operative system instances, and optimizing their distribution to maximize heat generation, optionally with a controller to migrate or shut down computers as needed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If known orchestration methods are used to distribute virtual operative system instances across host computers, then computing load is evenly distributed and hardware is cooled efficiently, but heat generation rate is minimized and heat harnessing efficiency is reduced

Engineering Contradiction:
Improvehardware cooling efficiencyVSAvoidheat generation rate
Core Design Contradiction:
ReliabilityVSPower

Solution Approach 1:

The patent inverts the traditional orchestration objective: instead of minimizing heat generation for cooling efficiency, it maximizes heat generation for heat harnessing. The controller deliberately distributes instances to create uneven load patterns that generate higher residual heat rates, transforming the waste heat into a valuable resource for external facilities.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent changes the optimization parameter from 'cooling efficiency' to 'heat generation rate'. The controller estimates heat rates for each instance-host combination and selects arrangements that maximize the sum of residual heat rates, fundamentally altering the optimization criterion from thermal management to heat production.

Inventive Principle:
Principle #35Parameter changes

2Object-affected harmful factors

If instances are distributed across more host computers to balance load, then overheating risk is reduced, but the number of machines required increases and heat harnessing efficiency decreases

Engineering Contradiction:
Improveoverheating riskVSAvoidnumber of host computers
Core Design Contradiction:
Object-affected harmful factorsVSQuantity of substance

Solution Approach 1:

The patent implements dynamic instance migration between host computers based on real-time heat rate estimates. The controller continuously monitors and adjusts the distribution of instances, migrating them to configurations that maximize heat generation while maintaining operational reliability, rather than using static load-balancing rules.

Inventive Principle:
Principle #15Dynamics

3Reliability

If traditional load balancing is implemented to avoid overheating, then hardware reliability is maintained, but heat harnessing efficiency and resource utilization are suboptimal

Engineering Contradiction:
Improvehardware reliabilityVSAvoidheat harnessing efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent implements a feedback mechanism where the controller estimates heat rates for each virtual operative system instance on each host computer, calculates the total heat generation for different arrangements, and adjusts instance distribution accordingly. This closed-loop control optimizes heat harnessing efficiency while maintaining hardware reliability through continuous monitoring and adjustment.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260111290A1System for and method of harnessing heat generated from running at least one virtual operative system instance
Publication Date: 2026.04.23 GREEN DATA CENT TECH AS
  • US20260111290A1 patent drawing
  • US20260111290A1 patent drawing
  • US20260111290A1 patent drawing

AI summary

Systems for and methods of harnessing heat generated from running virtual operative system instances. A system may include: host computers for running the virtual operative system instances, the host computers being networked; and a subsystem for harnessing heat generated by the host computers. One or more of the host computers may be configured to operate as a controller. Alternatively, a separate controller computer may be provided. The controller or controller computer is configured with the steps of: for each instance, estimating a heat rate that will result from running the instance as a guest of a host computer; calculating an arrangement of the instances over the host computers so that a heat rate achieved by the host computers is maximized; and controlling the host computers to run the instances as defined in the calculated arrangement.