Intel corporation (20240134705). ADJUSTING WORKLOAD EXECUTION BASED ON WORKLOAD SIMILARITY simplified abstract

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ADJUSTING WORKLOAD EXECUTION BASED ON WORKLOAD SIMILARITY

Organization Name

intel corporation

Inventor(s)

Niranjan Hasabnis of San Jose CA (US)

Patricia Mwove of Chandler AZ (US)

Ellick Chan of Portland OR (US)

Derssie Mebratu of Hillsboro OR (US)

Kshitij Doshi of Tempe AZ (US)

Mohammad Hossain of Santa Clara CA (US)

Gaurav Chaudhary of Santa Clara CA (US)

ADJUSTING WORKLOAD EXECUTION BASED ON WORKLOAD SIMILARITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240134705 titled 'ADJUSTING WORKLOAD EXECUTION BASED ON WORKLOAD SIMILARITY

Simplified Explanation

The abstract of the patent application describes a method for adjusting workload execution based on workload similarity. A processor determines the similarity of a first workload to a second workload and adjusts the execution of the first workload based on the execution parameters of the second workload and their similarity.

  • The processor analyzes the similarity between two workloads.
  • Based on the similarity and execution parameters of the second workload, the processor adjusts the execution of the first workload.

Potential Applications

This technology could be applied in:

  • Cloud computing environments
  • Data centers
  • High-performance computing systems

Problems Solved

This technology helps in:

  • Optimizing workload execution
  • Improving resource utilization
  • Enhancing overall system performance

Benefits

The benefits of this technology include:

  • Increased efficiency in workload execution
  • Better allocation of resources
  • Enhanced system scalability

Potential Commercial Applications

Some potential commercial applications of this technology are:

  • Software as a Service (SaaS) providers
  • IT infrastructure companies
  • Cloud service providers

Possible Prior Art

One possible prior art for this technology could be:

  • Dynamic workload management systems

What are the potential impacts of this technology on workload optimization in cloud computing environments?

This technology could significantly improve workload optimization in cloud computing environments by dynamically adjusting workload execution based on similarity and execution parameters. It could lead to better resource utilization and enhanced performance.

How does this technology compare to existing workload management systems in terms of efficiency and scalability?

This technology offers a more dynamic and adaptive approach to workload management compared to traditional systems. By adjusting workload execution based on similarity, it can potentially provide better efficiency and scalability in handling diverse workloads.


Original Abstract Submitted

adjusting workload execution based on workload similarity. a processor may determine a similarity of a first workload to a second workload. the processor may adjust execution of the first workload based on execution parameters of the second workload and the similarity of the first workload to the second workload.

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