20240040753. DATACENTER TEMPERATURE CONTROL AND MANAGEMENT simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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DATACENTER TEMPERATURE CONTROL AND MANAGEMENT

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Afroz Khan I of Davanagere (IN)

Hariharan Krishna of Bangalore (IN)

Hemant Kumar Sivaswamy of Pune (IN)

Devarajan Raman Karalil of Bangalore (IN)

DATACENTER TEMPERATURE CONTROL AND MANAGEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240040753 titled 'DATACENTER TEMPERATURE CONTROL AND MANAGEMENT

Simplified Explanation

The patent application describes systems, methods, and computer program products for managing the temperature of a datacenter when the cooling system is not functioning properly. The temperature of the datacenter's computing systems is monitored using thermal imaging systems and/or sensors. The computing systems are also monitored for their frequency of access and the number of mission-critical deployments.

The collected parameters, including temperature, frequency of access, and number of running mission-critical applications, are inputted into a scoring algorithm. This algorithm uses the parameters and weightings to generate a ranking of computing systems to shutdown sequentially in response to rising temperatures. As temperatures rise above a target temperature, computing systems with the highest score (and the lowest amount of risk) are shutdown, lowering the temperature of the datacenter until the cooling system becomes operational again.

  • Systems, methods, and computer program products for managing datacenter temperature during cooling system malfunction or inoperability.
  • Temperature of datacenter computing systems monitored using thermal imaging systems and/or sensors.
  • Computing systems also monitored for frequency of access and number of mission-critical deployments.
  • Collected parameters, including temperature, frequency of access, and number of running mission-critical applications, used in a scoring algorithm.
  • Scoring algorithm generates a ranking of computing systems to shutdown sequentially in response to rising temperatures.
  • Computing systems with the highest score (lowest risk) are shutdown as temperatures rise above a target temperature.
  • Shutdown of computing systems helps lower the temperature of the datacenter until the cooling system is operational again.

Potential Applications

  • Datacenters with cooling system malfunctions or inoperability.
  • Environments where maintaining optimal temperatures in datacenters is crucial.

Problems Solved

  • Managing datacenter temperature during cooling system malfunctions or inoperability.
  • Preventing overheating and potential damage to computing systems in datacenters.

Benefits

  • Prevents overheating and potential damage to computing systems in datacenters.
  • Allows for the sequential shutdown of computing systems based on risk assessment.
  • Helps maintain optimal temperatures in datacenters during cooling system malfunctions or inoperability.


Original Abstract Submitted

systems, methods and/or computer program products for managing the temperature of datacenter during a period of malfunction or inoperability of the cooling system responsible for maintaining temperatures within the datacenter. temperatures of the datacenter's computing systems are monitored by thermal imaging systems and/or sensors. computing systems are also monitored for how frequently the systems are accessed during a defined period of time and the number of mission critical deployments by each computing system. collected parameters, including temperature, frequency of access and number of running mission critical applications are imputed into a scoring algorithm which uses the collected parameters and weightings to generate a ranking of computing systems to shutdown sequentially in response to rising temperatures. as temperatures rise above a target temperature, computing systems with the highest score (and the lowest amount of risk) are shutdown, lowering the temperature of the datacenter until the cooling system becomes operation again.

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