18148317. METHODS AND APPARATUS FOR AUTO TUNING COOLING OF COMPUTE DEVICES BASED ON WORKLOADS simplified abstract (Intel Corporation)
METHODS AND APPARATUS FOR AUTO TUNING COOLING OF COMPUTE DEVICES BASED ON WORKLOADS
Organization Name
Inventor(s)
Christopher Macnamara of Ballyclough (IE)
Kshitij Arun Doshi of Tempe AZ (US)
Francesc Guim Bernat of Barcelona (ES)
John J. Browne of Limerick (IE)
Amruta Misra of Bangalore (IN)
METHODS AND APPARATUS FOR AUTO TUNING COOLING OF COMPUTE DEVICES BASED ON WORKLOADS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18148317 titled 'METHODS AND APPARATUS FOR AUTO TUNING COOLING OF COMPUTE DEVICES BASED ON WORKLOADS
Simplified Explanation
The patent application describes a method, apparatus, and system for automatically adjusting the cooling in a data center based on the workload of the devices within it.
- The apparatus includes processor circuitry that can determine the optimal environmental conditions for cooling based on either the future workload status or the current workload status of the devices in the data center.
- The processor circuitry can adjust the cooling setpoints accordingly to ensure efficient and effective cooling.
- This technology aims to optimize the cooling in data centers, which can help improve energy efficiency and reduce costs.
- By dynamically adjusting the cooling based on workload, the system can prevent overcooling or undercooling, leading to better performance and reliability of the devices.
- The invention can be implemented in various types of data centers, including cloud computing centers, server farms, and other large-scale computing facilities.
Potential Applications
This technology can be applied in various industries and sectors that rely on data centers, including:
- Cloud computing providers
- Internet service providers
- Telecommunication companies
- Financial institutions
- Government agencies
- Research institutions
Problems Solved
The technology addresses several problems associated with data center cooling:
- Overcooling: Traditional cooling systems often maintain a constant temperature regardless of the workload, resulting in unnecessary energy consumption and increased costs.
- Undercooling: Inadequate cooling can lead to overheating and reduced performance or even failure of the devices.
- Inefficient resource allocation: Without dynamic cooling adjustments, resources may be wasted on cooling when not needed or insufficiently allocated when workload increases.
Benefits
The use of this technology offers several benefits:
- Energy efficiency: By adjusting cooling based on workload, energy consumption can be optimized, leading to cost savings and reduced environmental impact.
- Improved device performance: Maintaining optimal cooling conditions ensures that devices operate at their best, avoiding performance degradation or failures due to overheating.
- Cost savings: By reducing energy consumption and optimizing resource allocation, organizations can save on operational costs associated with data center cooling.
- Enhanced reliability: Proper cooling management helps prevent device failures and downtime, improving the overall reliability and availability of the data center.
Original Abstract Submitted
Methods, apparatus, systems, and articles of manufacture are disclosed to auto tune data center cooling based on workloads. Disclosed herein is an apparatus including processor circuitry to determine environmental conditions setpoint(s) based on at least one of a future workload status or a current workload status of devices within a data center.
