18448633. SERVER THERMAL MANAGEMENT simplified abstract (Western Digital Technologies, Inc.)
Contents
- 1 SERVER THERMAL MANAGEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SERVER THERMAL MANAGEMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Thermal Management in Servers
- 1.13 Original Abstract Submitted
SERVER THERMAL MANAGEMENT
Organization Name
Western Digital Technologies, Inc.
Inventor(s)
Tew Wei Hong of Simpang Ampat (MY)
Lau Chun Sean of Bayan Lepas (MY)
SERVER THERMAL MANAGEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18448633 titled 'SERVER THERMAL MANAGEMENT
Simplified Explanation
The patent application describes servers, methods, and computer-readable media for managing the thermal performance of a server with multiple data storage devices. By using machine learning to identify hot zones within the server, the controller can shuffle the data storage devices to distribute the heat more evenly.
- Servers with multiple data storage devices
- Machine learning model used to identify hot zones
- Controller shuffles data storage devices for better thermal management
Key Features and Innovation
- Use of machine learning to identify hot zones within a server
- Logical shuffling of data storage devices to distribute heat evenly
- Improved thermal management of servers with multiple data storage devices
Potential Applications
- Data centers
- Cloud computing servers
- High-performance computing systems
Problems Solved
- Uneven distribution of heat in servers with multiple data storage devices
- Inefficient thermal management leading to overheating
- Potential damage to data storage devices due to excessive heat
Benefits
- Enhanced thermal performance
- Increased reliability of data storage devices
- Improved energy efficiency
Commercial Applications
- "Optimizing Thermal Management in Servers with Multiple Data Storage Devices"
- This technology can be applied in data centers, cloud computing facilities, and high-performance computing systems to improve the overall performance and reliability of servers.
Prior Art
There may be prior art related to thermal management systems in servers, machine learning applications in data centers, and methods for optimizing heat distribution in computing systems.
Frequently Updated Research
Researchers may be exploring new algorithms for more efficient heat distribution in servers, advancements in machine learning models for thermal management, and innovative approaches to enhance the performance of data storage devices in high-temperature environments.
Questions about Thermal Management in Servers
How does machine learning improve thermal management in servers with multiple data storage devices?
Machine learning helps identify hot zones within the server, allowing for targeted thermal management strategies to be implemented.
What are the potential risks of inefficient thermal management in servers?
Inefficient thermal management can lead to overheating, which may result in data loss, hardware damage, and system failures.
Original Abstract Submitted
Servers, methods, and computer-readable media for performing thermal management of a server including a plurality of data storage devices. In one example, a server includes a controller configured to apply a machine learning model to identify a first portion of the plurality of data storage devices located in a hot zone relative to a second portion of the plurality of data storage devices located outside of the hot zone. The controller identifies the hot zone based on thermal data received from each of the plurality of data storage devices. Based on an identification of the first portion of the plurality of data storage devices located in the hot zone, the controller performs thermal management of the plurality of data storage devices by logically shuffling the plurality of data storage devices to create a distributed hot zone.
