Service Path Computation Using Idle Network Resources
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Solution Overview
Problem
The existing service deployment in automatically switched optical networks (ASONS) is inefficient due to the long time required for service path computation and simulation survivability analysis, leading to low efficiency in establishing new service paths.
Innovation Solution
A method and apparatus that perform service path computation using idle resources in the network, excluding critical resources that ensure survivability, and conduct simulation survivability analysis only on new service paths, allowing for the determination and establishment of service paths that meet survivability requirements in a reduced timeframe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulation survivability analysis is performed on all service paths in the network, then survivability requirement is ensured, but service deployment time increases
Solution Approach 1:
The patent segments the service paths into two categories: new service paths and existing service paths. Simulation survivability analysis is performed only on new service paths, while existing service paths are excluded from simulation. This segmentation reduces the scope of simulation while ensuring that new services meet survivability requirements without unnecessarily analyzing already-validated existing paths.
Solution Approach 2:
The patent extracts and excludes critical resources from the resource pool used for service path computation. By identifying and removing resources that are essential for existing service path survivability, the system reduces the search space for new service paths, thereby reducing computation time while maintaining overall network survivability.
2Adaptability or versatility
If all resources in the network are used for service path computation, then path options increase, but computation complexity increases
Solution Approach 1:
The patent extracts critical resources from the complete resource set and excludes them from service path computation. This extraction reduces the number of resources that need to be considered during path computation, thereby reducing computation complexity while still maintaining adequate path options for new services.
Solution Approach 2:
The patent segments resources into critical resources (excluded from computation) and non-critical resources (used for computation). This segmentation allows the system to focus computation on resources that are less critical for existing services, reducing overall computation complexity while maintaining sufficient path options.
Data Source
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AI summary
The present invention provides a service deployment method and apparatus, and a network device. The method includes: receiving a service path computation request sent by a node; determining a first idle resource in all resources of a network except a critical resource, where the critical resource is a resource that enables an existing service path in the network to meet a survivability requirement; performing service path computation based on the first idle resource, to obtain a first service path; performing, based on the first idle resource, simulation survivability analysis on the first service path; and if the first service path meets the survivability requirement, sending the first service path to the node. In embodiments of the present invention, based on an idle resource except a critical resource that enables an existing service in a network to meet a survivability requirement, service path computation and simulation survivability analysis are performed on a new service. Therefore, a time for service deployment is reduced, and efficiency of establishing a new service path is improved.