18186059. METHODS AND APPARATUS TO PREDICT POWER CONSUMPTION simplified abstract (VMware LLC)
Contents
METHODS AND APPARATUS TO PREDICT POWER CONSUMPTION
Organization Name
Inventor(s)
Mark Peek of Anacortes WA (US)
METHODS AND APPARATUS TO PREDICT POWER CONSUMPTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18186059 titled 'METHODS AND APPARATUS TO PREDICT POWER CONSUMPTION
Simplified Explanation: The patent application describes a method to predict power consumption in a server by training prediction models based on resource utilization data.
- Interface circuitry obtains a power prediction request for the server.
- Range determiner circuitry divides a training data set into two sub-ranges.
- Model trainer circuitry trains candidate models based on the sub-ranges of data.
- Prediction selector circuitry selects prediction models to predict power consumption.
Key Features and Innovation: - Division of training data into sub-ranges for more accurate predictions. - Training of candidate models based on different data subsets. - Selection of prediction models for power consumption estimation.
Potential Applications: This technology can be applied in data centers, cloud computing environments, and server management systems to optimize power consumption.
Problems Solved: - Inefficient power management in servers. - Lack of accurate power consumption predictions. - Difficulty in optimizing resource utilization for power efficiency.
Benefits: - Improved power consumption predictions. - Enhanced server efficiency. - Cost savings through optimized power management.
Commercial Applications: Predictive power consumption technology can be utilized in data centers, cloud service providers, and server manufacturers to improve energy efficiency and reduce operational costs.
Prior Art: Prior research in the field of predictive analytics for power consumption in servers may provide insights into similar methods and technologies.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for power consumption prediction in servers to enhance the accuracy and efficiency of the technology.
Questions about Predictive Power Consumption Technology: 1. How does this technology contribute to sustainability efforts in data centers? 2. What are the potential cost savings for businesses implementing predictive power consumption technology?
Original Abstract Submitted
Methods, apparatus, systems, and articles of manufacture are disclosed to predict power consumption in a server. An example apparatus includes interface circuitry to obtain a power prediction request corresponding to the server range determiner circuitry to divide a training data set into a first sub-range of data and a second sub-range of the data; a data point in the training data set representative of resource utilization of a workload and a corresponding power consumption metric of the workload; model trainer circuitry to train first candidate models based on the first sub-range of the data and second candidate models based on the second sub-range of the data; and prediction selector circuitry to: select a first prediction model from the first candidate models; and select a second prediction model from the second candidate models, outputs of the first and the second prediction models to predict the power consumption of the server.
