18596028. TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT simplified abstract (Microsoft Technology Licensing, LLC)
Contents
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 18596028 titled 'TECHNIQUES FOR ADAPTIVELY ALLOCATING RESOURCES IN A CLOUD-COMPUTING ENVIRONMENT
Simplified Explanation: The patent application describes methods for monitoring performance metrics of workloads in a cloud-computing environment and reallocating compute resources based on the monitoring.
- Reallocation of compute resources can involve migrating workloads among nodes or other resources in the cloud-computing environment.
- Reallocation may also include adjusting hardware accelerator resources and transmit power for virtual radio access network (vRAN) workloads.
Key Features and Innovation:
- Monitoring performance metrics of workloads in a cloud-computing environment.
- Reallocating compute resources based on the monitoring.
- Migrating workloads among nodes or other resources.
- Adjusting hardware accelerator resources.
- Adjusting transmit power for vRAN workloads.
Potential Applications: The technology can be applied in cloud computing environments to optimize resource allocation and improve workload performance.
Problems Solved:
- Inefficient resource allocation in cloud computing environments.
- Suboptimal workload performance.
- Lack of automated monitoring and reallocation mechanisms.
Benefits:
- Improved efficiency in resource allocation.
- Enhanced workload performance.
- Automated monitoring and reallocation processes.
Commercial Applications: Potential commercial applications include cloud service providers, data centers, and companies utilizing cloud computing for their operations. This technology can help optimize resource usage and improve overall performance.
Prior Art: Prior research in cloud computing, workload optimization, and resource allocation in virtualized environments may be relevant to this technology.
Frequently Updated Research: Stay updated on the latest advancements in cloud computing, workload optimization, and resource allocation in virtualized environments to enhance the effectiveness of this technology.
Questions about Cloud Computing Resource Reallocation: 1. How does the technology in the patent application improve resource allocation in cloud computing environments? 2. What are the potential challenges in implementing automated monitoring and reallocation mechanisms in cloud computing systems?
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.
