Microsoft Technology Licensing, LLC (20240348513). SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS simplified abstract
Contents
SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Ronald Mark Parker of Manchester MA (US)
Mark Gordon Libby of Groton MA (US)
Michael Anthony Brown of McKinney TX (US)
Rahul Bose of Westford MA (US)
SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348513 titled 'SLICE-DRIVEN DEPLOYMENT OF NETWORK FUNCTIONS
The present disclosure pertains to systems, methods, and computer-readable media for facilitating the placement of network functions based on a network slice profile received and internal knowledge of a cloud computing system with network resources.
- Tagging network resources with various characteristics
- Generating resource management profiles with instructions to supplement slice profile information
- Matching incoming slice profiles with resource management profiles
- Rolling out network function deployment on network resources based on resource management profile information
- Optimizing resources and enabling automated placement of network functions based on received network slices
Potential Applications: - Cloud computing systems - Network function deployment - Resource optimization in networks
Problems Solved: - Efficient placement of network functions - Optimization of network resources - Automated deployment based on network slice profiles
Benefits: - Improved resource utilization - Streamlined network function deployment - Enhanced automation in network management
Commercial Applications: Title: "Optimized Network Function Deployment for Cloud Computing Systems" This technology can be utilized in cloud service providers, telecommunications companies, and network infrastructure providers to enhance resource management and automate network function deployment.
Prior Art: Readers can explore prior patents related to network function deployment, resource optimization, and cloud computing systems to gain a deeper understanding of the technology landscape.
Frequently Updated Research: Stay updated on research related to network function optimization, cloud computing resource management, and automated network deployment to leverage the latest advancements in the field.
Questions about the technology: 1. How does this technology improve resource utilization in cloud computing systems? - This technology enhances resource utilization by efficiently placing network functions based on network slice profiles and internal knowledge of the cloud computing system.
2. What are the key benefits of automated network function deployment in cloud environments? - Automated network function deployment streamlines operations, reduces manual intervention, and optimizes resource allocation in cloud computing systems.
Original Abstract Submitted
the present disclosure relates to systems, methods, and computer readable media for facilitating placement of network functions based on a network slice profile that is received and based on internal knowledge of a cloud computing system having network resources thereon. the systems described herein involve tagging the network resources with various characteristics, generating resource management profiles including instructions that may be used to supplement information from the slice profile(s), and matching an incoming slice profile with a resource management profile. the systems described herein facilitate rolling out a deployment of network functions on the network resources in accordance with information from the resource management profile in a way that optimizes resources and allows automated placement of network functions based on a received network slice.
