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 deployment of network functions 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: - Network function virtualization - Cloud computing optimization - Network resource management
Problems Solved: - Efficient placement of network functions - Resource optimization in cloud computing environments
Benefits: - Improved resource utilization - Automated network function deployment - Enhanced network performance
Commercial Applications: Title: "Optimized Network Function Placement System" This technology can be utilized in telecommunications companies, cloud service providers, and network infrastructure companies to streamline network function deployment and resource management.
Prior Art: Readers can explore prior patents related to network function placement, cloud computing resource optimization, and network slice management to gain a deeper understanding of the technology landscape.
Frequently Updated Research: Stay updated on the latest advancements in network function placement, cloud computing optimization, and resource management in cloud environments to enhance your knowledge in this field.
Questions about the Technology: 1. How does this technology improve resource utilization in cloud computing environments? - This technology enhances resource utilization by efficiently placing network functions based on received network slice profiles and internal knowledge of the cloud computing system. 2. What are the key benefits of automated network function deployment in this system? - The key benefits include improved network performance, optimized resource allocation, and streamlined network function deployment processes.
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.
