NFV Capacity Parameter Management for VNF Resource Allocation
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Solution Overview
Problem
In network function virtualization (NFV), efficiently managing capacity across virtual network functions (VNFs) on a shared hardware platform is challenging, as existing systems struggle to optimize resource allocation and prevent service outages due to inadequate reserve capacity and costly infrastructure requirements.
Innovation Solution
The implementation of a network function virtualization management system that defines each VNF with parameters including capacity indications, such as minimum, maximum, and average service capacity, allowing for flexible deployment and resource configuration, enabling efficient use of available resources and reducing the need for excessive reserve capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If capacity parameters are defined for each VNF to enable flexible deployment, then resource utilization efficiency improves, but system complexity increases
Solution Approach 1:
The patent applies parameter changes by defining capacity parameters (minimum capacity, maximum capacity, average capacity) for each VNF. These parameters enable flexible resource allocation and efficient utilization of computing platform resources while maintaining manageable system complexity through structured parameter definitions in the VNF deployment package.
2Reliability
If reserve capacity is increased to prevent service outages, then network reliability improves, but infrastructure cost increases
Solution Approach 1:
The patent applies dynamics by implementing dynamic capacity management where the computing platform can allocate resources flexibly based on actual demand. The capacity parameters (minimum, maximum, average) enable the system to adapt resource allocation dynamically, ensuring service reliability during peak demand without requiring excessive permanent infrastructure reserves.
Solution Approach 2:
The patent applies universality by creating a multi-functional capacity management system that handles multiple VNFs with different capacity requirements on a shared computing platform. The standardized capacity parameters enable diverse VNFs to be managed uniformly, optimizing resource utilization across the entire network infrastructure.
Data Source
AI summary
An embodiment of the disclosure includes a method including providing a network function virtualization (NFV) capacity for a plurality of virtual network functions (VNFs) on a computing platform. A network function virtualization management function creates at least one VNF to operate on the computing platform to perform a network function. Each of the VNFs has a definition comprising a plurality of parameters. At least one of the parameters is a capacity indication relative to a capacity of the network function for the respective VNF.