Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center

a data center and computing workload technology, applied in the field of data processing, can solve the problems of increasing energy costs, critical energy consumption in data centers, and computer systems becoming extremely complicated devices, and achieve the effect of consuming the least amount of energy and optimizing the utility of air conditioning units and processing resources

Inactive Publication Date: 2013-04-25
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present invention provides methods, devices, and computer programs for efficiently providing computing resources to an air conditioner system or process group. These techniques help optimize utilization of these resources and reduce energy usage. By analyzing the physical arrangement of the systems, it can identify which ones require cooling and how much energy they use during their operation. This helps improve efficiency and reduces costs associated with operating them.

Problems solved by technology

The technical problem addressed in this patent is how to manage the energy usage of electronic systems efficiently without compromising their overall functionality or quality.

Method used

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  • Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center
  • Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center
  • Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center

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Embodiment Construction

[0018]Exemplary methods, apparatuses, and computer program products for provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center in accordance with the present invention are described with reference to the accompanying drawings, beginning with FIG. 1. Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center in accordance with the present invention is generally implemented with computers, that is, with automated computing machinery. FIG. 1 sets forth a block diagram of automated computing machinery comprising an exemplary computer (152) useful in provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center according to embodimen

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Abstract

Methods, apparatuses, and computer program products for provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center are provided. Embodiments include for each air conditioning unit within the data center, determining a thermal zone generated by the air conditioning unit; for a given aggregate computational workload, identifying a plurality of computational workload configurations, each computational workload configuration indicating spatial assignments of the aggregate computational workload among a plurality of processing resources within the data center; for each computational workload configuration, calculating a total minimum energy consumption of the air conditioning units and the processing resources; and selecting the computational workload configuration with the lowest total minimum energy consumption and the determined lowest power air conditioning unit configuration corresponding with the selected computational workload configuration.

Description

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Claims

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Application Information

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Owner IBM CORP
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