17809284. DATA CENTER WITH ENERGY-AWARE WORKLOAD PLACEMENT simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
DATA CENTER WITH ENERGY-AWARE WORKLOAD PLACEMENT
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Asser Nasreldin Tantawi of Somers NY (US)
Tamar Eilam of NEW YORK NY (US)
Ramachandra Rao Kolluri of Cranbourne East (AU)
Eun Kyung Lee of Bedford Corners NY (US)
Arun Vishwanath of Nunawading (AU)
Alaa S. Youssef of Valhalla NY (US)
DATA CENTER WITH ENERGY-AWARE WORKLOAD PLACEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17809284 titled 'DATA CENTER WITH ENERGY-AWARE WORKLOAD PLACEMENT
Simplified Explanation
The abstract describes a computer-implemented method, system, and program that aims to improve efficiency by placing workloads on computer servers based on their energy profiles and power consumption data. The method involves several steps:
- Obtaining energy profiles and power consumption data for multiple computer servers.
- Determining the optimal temperature for each server based on its energy profile.
- Determining the target processor utilization for each server based on the optimal temperature.
- Calculating an efficiency rank for each server based on the target processor utilization and power consumption data.
- Deploying workloads on the server with the highest efficiency rank.
Potential applications of this technology:
- Data centers: This method can be used to optimize the placement of workloads in data centers, leading to improved energy efficiency and cost savings.
- Cloud computing: By efficiently placing workloads on servers, cloud service providers can enhance their resource utilization and reduce energy consumption.
- High-performance computing: This method can be beneficial in optimizing the allocation of computational tasks in supercomputers, leading to improved performance and energy efficiency.
Problems solved by this technology:
- Inefficient workload placement: Traditional methods may not consider energy profiles and power consumption data when assigning workloads to servers, resulting in suboptimal resource utilization and higher energy consumption.
- Overheating and underutilization: By determining the optimal temperature and target processor utilization for each server, this method helps prevent overheating while maximizing the utilization of computing resources.
Benefits of this technology:
- Improved energy efficiency: By considering energy profiles and power consumption data, workloads can be placed on servers in a way that minimizes energy consumption.
- Cost savings: Optimizing workload placement can lead to reduced energy costs for data centers and cloud service providers.
- Enhanced performance: By allocating workloads based on optimal temperature and target processor utilization, this method can improve the overall performance of computer servers.
Original Abstract Submitted
A computer-implemented method, a computer system and a computer program product boost efficiency through energy-aware workload placement. The method includes obtaining an energy profile for a plurality of computer servers and power consumption data for each computer server in the plurality of computer servers. The method also includes determining an optimal temperature for each computer server in the plurality of computer servers based on the energy profile. The method further includes determining a target processor utilization for each computer server in the plurality of computer servers based on the optimal temperature. In addition, the method includes calculating an efficiency rank for each computer server in the plurality of computer servers based on the target processor utilization and the power consumption data. Lastly, the method includes deploying a workload on a computer server with a highest efficiency rank.
