17967240. DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION simplified abstract (Dell Products L.P.)
Contents
- 1 DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION
Organization Name
Inventor(s)
Aleksey Kabishcher of Marlborough MA (US)
Vladimir Shveidel of Pardes-Hana (IL)
Gajanan S. Natu of Cary NC (US)
DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17967240 titled 'DATA STORAGE SYSTEM WITH DYNAMIC WORKLOAD ADJUSTMENT BASED ON HEADROOM ESTIMATION
Simplified Explanation
The method described in the patent application involves dynamically adjusting the workload of a data storage system based on the saturation value of a saturation metric that scales with the IOPS rate of the system.
- The saturation value is calculated while processing a first workload, and if it is above a high threshold or below a low threshold, a workload adjustment operation is performed to establish a second workload by subtracting from or adding to the first workload accordingly.
- The second workload is then processed, allowing the system to adapt to changing performance levels and optimize resource utilization.
Potential Applications
This technology could be applied in various data storage systems, cloud computing environments, and server infrastructure to optimize performance and resource allocation.
Problems Solved
1. Efficient workload management in data storage systems. 2. Dynamic adjustment of workloads based on system performance metrics.
Benefits
1. Improved system performance and resource utilization. 2. Automated workload adjustments for optimal efficiency. 3. Enhanced scalability and adaptability of data storage systems.
Potential Commercial Applications
"Dynamic Workload Adjustment Technology for Data Storage Systems" could find applications in cloud service providers, data centers, and enterprises seeking to optimize their storage infrastructure for better performance and cost-effectiveness.
Possible Prior Art
One possible prior art could be the use of workload management algorithms in data storage systems to optimize resource allocation based on performance metrics.
Unanswered Questions
The patent does not specifically mention security measures or protocols implemented to ensure the integrity and confidentiality of data during workload adjustments.
What impact does this technology have on energy consumption in data storage systems?
The patent does not provide information on the energy efficiency implications of dynamically adjusting workloads in data storage systems.
Original Abstract Submitted
A method of dynamically adjusting workload of a data storage system includes, while processing a first workload, calculating a saturation value of a saturation metric that scales substantially linearly with an I/O per second (IOPS) rate relative to a maximum IOPS rate of the system, determining that the saturation value is one of (1) above a high threshold and (2) below a low threshold, and performing a workload adjustment operation that establishes a second workload by (1) subtracting from the first workload based on the saturation value being above the high threshold, and (2) adding to the first workload based on the saturation value being below the low threshold, then subsequently processing the second workload.
