18541449. RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)
Contents
- 1 RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM - 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
RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM
Organization Name
Inventor(s)
Lingchuan Sun of Shenzhen (CN)
RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18541449 titled 'RESOURCE CONFIGURATION METHOD, APPARATUS, STORAGE MEDIUM, AND COMPUTING SYSTEM
Simplified Explanation
The computing cluster patent application abstract describes a method for determining the configuration of a computing node based on the execution characteristic parameter of an application and a load model.
- The method involves obtaining the execution characteristic parameter of an application.
- Based on the execution characteristic parameter and a load model, running time periods of the application on different computing nodes with varying configurations are determined.
- According to a preset policy, the configuration of a computing node that executes the application is then determined.
Potential Applications
This technology could be applied in cloud computing environments to optimize the performance and resource allocation of applications running on computing clusters.
Problems Solved
This technology solves the problem of inefficient resource allocation and performance bottlenecks in computing clusters by dynamically adjusting the configuration of computing nodes based on application characteristics.
Benefits
- Improved performance and efficiency of computing clusters - Dynamic resource allocation based on application requirements - Enhanced scalability and flexibility in cloud computing environments
Potential Commercial Applications
"Optimizing Computing Node Configuration in Cloud Environments" could be a potential SEO-optimized title for this section. This technology could be valuable for cloud service providers, data centers, and companies utilizing computing clusters for various applications.
Possible Prior Art
There may be prior art related to dynamic resource allocation in computing clusters or load balancing techniques in cloud computing environments.
Unanswered Questions
How does this technology impact energy efficiency in computing clusters?
This article does not address the potential energy savings or efficiency improvements that could result from dynamically adjusting computing node configurations based on application characteristics.
What are the security implications of dynamically changing computing node configurations?
The article does not discuss the security considerations or potential vulnerabilities that may arise from dynamically altering computing node configurations in a cloud computing environment.
Original Abstract Submitted
A computing cluster includes a plurality of computing nodes. A method includes: obtaining an execution characteristic parameter of an application; obtaining, based on the execution characteristic parameter of the application and a load model, running time periods of the application when the application runs on different computing nodes, where the different computing nodes have different configurations; and determining, according to a preset policy, a configuration of a computing node that executes the application.
