NFV Service Availability Management via Resource Pool Segmentation
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Solution Overview
Problem
The existing service availability management methods in NFV technology fail to provide a service availability level that matches operator requirements, resulting in poor service availability experiences due to coarse resource allocation granularity and inconsistency between allocated and required resource levels.
Innovation Solution
A service availability management method that uses a new NFV standard architecture with an availability management module to determine the required resource parameters from a preconfigured policy library, allocating and configuring resources such as infrastructure, non-HA, and HA software resources to ensure consistent service availability levels across different service types and user types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static pool division according to differentiated hardware is used during system establishment, then resource allocation can be performed according to service availability levels, but the division granularity is too large and the actual service availability level provided greatly differs from the required level
Solution Approach 1:
The patent segments the resource pool into multiple granularity levels: first dividing hardware resources into different hardware resource pools according to hardware types, then further dividing each hardware resource pool into multiple virtual resource pools according to service availability levels. This multi-level segmentation enables fine-grained resource allocation that precisely matches different service availability requirements, resolving the contradiction between adaptability and measurement precision.
Solution Approach 2:
The patent applies local quality by creating different virtual resource pools with different service availability levels for different service types. Each service type is allocated resources from the appropriate virtual resource pool based on its specific availability requirements, ensuring that each local region of the resource allocation system has the quality (service availability level) needed for that particular service.
2Ease of manufacture
If coarse resource allocation granularity is used, then hardware deployment costs are reduced, but service availability experience deteriorates due to inconsistency between allocated and required resource levels
Solution Approach 1:
The patent segments resources into virtual resource pools with different service availability levels, allowing the system to allocate appropriate granularity resources based on specific service needs. This enables fine-grained allocation for services requiring high availability while using coarser allocation for less critical services, thus maintaining cost efficiency while improving service availability experience.
Solution Approach 2:
The patent changes the parameter of resource allocation granularity by introducing virtual resource pools with different service availability levels. This allows the system to dynamically adjust the allocation granularity parameter based on service requirements, achieving both cost reduction and improved service availability experience by matching granularity to service criticality.
Data Source
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AI summary
The present invention relates to the communications field, and discloses a service availability management method, a service availability management apparatus, and a network function virtualization architecture thereof, so as to resolve a problem that service availability experience is poor because a service availability level that a resource allocated to a service of a corresponding type can actually provide is greatly different from a service availability level required by an operator. A specific solution is as follows: obtaining a service availability level of a to-be-deployed service; determining, based on an availability policy library and according to the service availability level of the to-be-deployed service, availability-related parameter information of a resource corresponding to the service availability level of the to-be-deployed service; and allocating and configuring the corresponding resource for the to-be-deployed service based on a resource information library and according to the availability-related parameter information of the resource corresponding to the service availability level of the to-be-deployed service, where the resource includes at least one of the following: an infrastructure resource, a non-HA software resource, or an HA software resource. The present invention is used in a service availability management process.