Microsoft technology licensing, llc (20240137812). TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT simplified abstract

TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT

Organization Name

microsoft technology licensing, llc

Inventor(s)

Bozidar Radunovic of Cambridge (GB)

Sanjeev Mehrotra of Kirkland WA (US)

Yongguang Zhang of Redmond WA (US)

Paramvir Bahl of Bellevue WA (US)

Xenofon Foukas of Cambridge (GB)

TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240137812 titled 'TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT

Simplified Explanation

Monitoring and reallocating compute resources in a cloud-computing environment

• Monitoring performance metrics of workloads in a cloud-computing environment
• Reallocating compute resources based on monitoring
• Reallocating resources by migrating workloads among nodes or other resources
• Reallocating hardware accelerator resources
• Adjusting transmit power for virtual radio access network (vran) workloads

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1. 1. 1. Potential Applications

This technology can be applied in various industries such as:

• Cloud service providers
• Data centers
• Telecommunications companies

1. 1. 1. Problems Solved

This technology helps in:

• Optimizing resource allocation
• Improving workload performance
• Enhancing overall efficiency of cloud-computing environments

1. 1. 1. Benefits

The benefits of this technology include:

• Cost savings through efficient resource allocation
• Improved performance of workloads
• Enhanced scalability and flexibility of cloud-computing environments

1. 1. 1. Potential Commercial Applications

The potential commercial applications of this technology include:

• Cloud service optimization solutions
• Data center management tools
• Telecommunications network optimization software

1. 1. 1. Possible Prior Art

One possible prior art for this technology could be:

• Dynamic resource allocation algorithms in cloud computing

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1. 1. 1. 1. Unanswered Questions

1. 1. 1. How does this technology impact energy consumption in cloud-computing environments?

This article does not delve into the specific impact of this technology on energy consumption within cloud-computing environments. Further research may be needed to explore this aspect.

1. 1. 1. What are the potential security implications of reallocating compute resources in a cloud-computing environment?

The article does not address the potential security implications of reallocating compute resources. It would be important to investigate how this process could impact the security of workloads and data within the cloud environment.

Original Abstract Submitted

described are examples for monitoring performance metrics of one or more workloads in a cloud-computing environment and reallocating compute resources based on the monitoring. reallocating compute resources can include migrating workloads among nodes or other resources in the cloud-computing environment, reallocating hardware accelerator resources, adjusting transmit power for virtual radio access network (vran) workloads, and/or the like.