Multi-Stage Network Resource State Model for Physical-Logical-Hybrid Tracking
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Solution Overview
Problem
Existing network management systems struggle to efficiently track and manage the inter-relationship between physical and logical activities in network resource provisioning, particularly with white boxes running native operating systems, leading to unclear understanding and inefficient resource utilization.
Innovation Solution
A comprehensive multi-stage state model that tracks physical, logical, and hybrid activities of network resources, using three common state attributes: inventoryStatus, operationalStatus, and detailedStatus, to provide a unified framework for managing both 'as is' and 'planned' network resources, enhancing existing Service Provider DBORs with improved tracking and coordination of physical, logical, and hybrid activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive multi-stage state model is implemented to track physical, logical, and hybrid activities, then measurement precision and information completeness improve, but device complexity and implementation difficulty increase
Solution Approach 1:
The state model is segmented into three distinct state attributes (inventoryStatus, operationalStatus, detailedStatus) that independently track different aspects of resource provisioning. This segmentation allows precise tracking of physical, logical, and hybrid activities through separate state dimensions while managing complexity through modular state representation.
Solution Approach 2:
The patent introduces a multi-dimensional state space by combining three state attributes with multiple possible values each, creating a comprehensive state description. This dimensional approach enables precise tracking of resource provisioning across physical, logical, and hybrid activities without requiring a single complex state variable.
2Ease of operation
If separate tracking systems are used for physical and logical activities, then ease of operation is maintained, but loss of information occurs due to inability to capture inter-relationships
Solution Approach 1:
The patent merges physical activity tracking, logical activity tracking, and hybrid activity tracking into a unified state model that captures inter-relationships between these activities. The model combines state information from multiple sources while maintaining operational simplicity through a standardized state representation framework.
Solution Approach 2:
The state model serves multiple functions simultaneously: it tracks physical provisioning state, logical provisioning state, hybrid activity state, and readiness state all through a unified framework. This multi-functionality eliminates information loss while maintaining ease of operation through consistent state management.
3Adaptability or versatility
If white boxes running native operating systems are deployed, then adaptability and versatility improve, but device complexity and difficulty of managing inter-relationships increase
Solution Approach 1:
The patent uses parameter changes in the state attributes to represent different provisioning stages and readiness states of white boxes. By monitoring state parameter transitions (e.g., from notReady to ready), the system manages the complexity of white box deployment while maintaining adaptability to different operating systems and configurations.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a database being maintained that has information indicating states of network resources, which can be determined based on physical activities, logical activities and hybrid activities performed on or by the network resources; obtaining activity information for a particular network resource, where the activity information is a physical activity, a logical activity and/or a hybrid activity; and determining whether a state change for the particular network resource should be made such as to whether the activity information corresponds to and warrants change to at least one of an inventory state, an operational state, or a detailed state. Other embodiments are disclosed.