Distributed Network Planning for Multi-Domain Coordination
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Solution Overview
Problem
Current network planning systems for multi-domain environments are labor-intensive, prone to errors, and inefficient due to the need for manual operation across multiple vendor systems, with proprietary interfaces limiting data visibility and scalability.
Innovation Solution
A distributed network planning system that synchronizes planning functions across multiple domains using a distributed control plane, integrating network planning systems with a signaling communication network to share topology data and perform reservations, reducing operational complexity and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple planning systems are used in multi-domain environments, then network coverage and functionality are improved, but operational complexity and time required for planning increase
Solution Approach 1:
The patent merges multiple planning systems into a unified distributed planning architecture where each domain has its own planning system but they are interconnected through a common database and synchronization mechanism. This allows multi-domain coverage while reducing operational complexity through automated data sharing and coordination.
Solution Approach 2:
The patent segments the planning system into distributed instances across multiple domains, each maintaining local autonomy while participating in global coordination. This segmentation enables scalable network coverage without requiring a single monolithic system, reducing operational complexity through localized control.
2Measurement precision
If manual data transfer and evaluation across multiple systems is performed, then data accuracy can be verified, but time consumption and labor requirements increase
Solution Approach 1:
The patent implements automated feedback mechanisms where planning systems continuously synchronize their databases through defined interfaces. Data accuracy is maintained through validation protocols and consistency checks, while time consumption is reduced by eliminating manual data transfer and automated coordination between systems.
Solution Approach 2:
The patent enables planning systems to self-synchronize their own data through automated database updates and coordination protocols. Each system maintains its own data accuracy while automatically sharing with other domains, eliminating the need for manual intervention and reducing overall time consumption.
3Adaptability or versatility
If proprietary interfaces are used in each vendor system, then system compatibility and vendor specificity are improved, but data visibility and interoperability deteriorate
Solution Approach 1:
The patent introduces standardized intermediate interfaces and a common database layer that act as mediators between proprietary vendor systems. These intermediaries translate between different vendor-specific formats while maintaining data visibility and interoperability across domains, allowing each system to retain its proprietary characteristics while communicating effectively.
Solution Approach 2:
The patent implements universal standardized interfaces that serve multiple vendor systems simultaneously. These universal interfaces enable data exchange between different proprietary systems while maintaining compatibility with each vendor's specific requirements, thereby improving both system compatibility and data visibility.
4Ease of operation
If a centralized super planning system is built, then coordination across domains is improved, but system complexity and resource requirements increase
Solution Approach 1:
The patent segments the planning function into distributed domain-level systems rather than a single centralized system. Each domain maintains its own planning capabilities while coordinating through standardized interfaces and a shared database, reducing overall system complexity and resource requirements compared to a monolithic centralized approach.
Solution Approach 2:
The patent transitions from vertical centralization to horizontal distribution across multiple domains. Instead of one large centralized system, the architecture uses multiple smaller systems operating at the same level (peer-to-peer), reducing system complexity while maintaining coordination through distributed collaboration.
Data Source
AI summary
The present disclosure provides distributed domain network planning systems and methods. The network planning systems and methods include a distributed domain network planning system that adapts planning concepts to networks operated by modern distributed control planes, such as ASON/ASTN, GMPLS, etc. The network planning systems and methods operate on a multi-domain network utilizing a control plane and local planning systems associated with each individual domain in the multi-domain network. The network planning systems and methods also operate on a single domain network utilizing a control plane and local planning systems associated with the single domain network. The network planning systems and methods build on a distributed control plane philosophy that the network is the database of record. There is significant operational value to distributing the planning function of a large network using the systems and methods disclosed herein.