18046040. MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER simplified abstract (Dell Products L.P.)
Contents
- 1 MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER
Organization Name
Inventor(s)
RISHI Mukherjee of Bangalore (IN)
RAVISHANKAR N. Kanakapura of Bangalore (IN)
PRASOON KUMAR Sinha of Bangalore (IN)
RAVEENDRA BABU Madala of Bangalore (IN)
MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18046040 titled 'MANAGING POWER CONSUMPTION FOR A COMPUTING CLUSTER
Simplified Explanation
The patent application focuses on managing power consumption for a computing cluster, specifically for each individual host server (IHS) within the cluster. The method involves executing I/O computing workloads at the IHS associated with the movement of block storage data between a disk array and the IHS, determining the power usage of each IHS during the execution of I/O workloads, calculating the accumulated I/O power consumption of all IHS based on individual power usage, calculating the power consumption of the disk array during data movement, calculating the power storage consumption of each IHS based on various factors, and allocating additional workloads among the IHS based on their power storage consumption.
- Executing I/O computing workloads at the IHS associated with movement of block storage data
- Determining the power usage of each IHS during the execution of I/O workloads
- Calculating the accumulated I/O power consumption of all IHS based on individual power usage
- Calculating the power consumption of the disk array during data movement
- Calculating the power storage consumption of each IHS based on various factors
- Allocating additional workloads among the IHS based on their power storage consumption
Potential Applications
This technology can be applied in data centers, cloud computing environments, and any computing clusters where power consumption management is crucial.
Problems Solved
This technology solves the problem of inefficient power consumption management in computing clusters, leading to better resource allocation and energy efficiency.
Benefits
The benefits of this technology include optimized power consumption, improved performance, reduced energy costs, and enhanced overall efficiency of computing clusters.
Potential Commercial Applications
Potential commercial applications of this technology include data center management solutions, cloud computing services, and energy-efficient computing cluster setups.
Possible Prior Art
One possible prior art could be power management solutions for individual servers or data centers, but the specific approach outlined in this patent application may be novel and innovative.
Unanswered Questions
How does this technology impact overall system performance in computing clusters?
This technology can potentially improve system performance by optimizing power consumption and resource allocation among individual host servers.
What are the potential cost savings associated with implementing this power consumption management system?
Implementing this technology can lead to significant cost savings in terms of energy efficiency and reduced power consumption in computing clusters.
Original Abstract Submitted
Managing power consumption for computing cluster, including for each IHS of the computing cluster: executing I/O computing workloads at the IHS associated with movement of block storage data, stored at a disk array in communication with the IHS, between the disk array and the IHS; during execution of the I/O computing workloads, determining an I/O power usage of the IHS; calculating an accumulated I/O power consumption of the plurality of IHS based on a summation of the I/O power usage of each of the IHS; during movement of the block storage data, calculating a power consumption of the disk array; calculating, for each IHS, a power storage consumption of the IHS based on the I/O power usage of the IHS, the accumulated I/O power consumption, and the power consumption of the disk array; allocating additional workloads among the plurality of IHS based on the power storage consumption of each IHS.
