Dynamic Network Slice Allocation via VNO Server
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Solution Overview
Problem
Current network slicing technologies are inefficient in dynamically allocating and utilizing network resources, particularly for dynamic service level requirements and ad-hoc user needs, leading to underutilization of logical and physical infrastructure components.
Innovation Solution
A system comprising a VNO server, a Solution manager engine, and an AI/ML engine that identifies and allocates virtualized network slices to meet specific service level requirements, monitors usage, and generates future solutions to optimize resource allocation and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network slicing is provided on a predetermined and static basis to enterprise customers, then service level requirements are satisfied for predictable needs, but network resources are inefficiently allocated and underutilized
Solution Approach 1:
The patent transforms static network slicing into dynamic slicing by enabling real-time allocation and reconfiguration of network resources based on actual usage patterns and service level requirements. The system continuously monitors network state and adjusts slice configurations dynamically, allowing resources to be reallocated from underutilized slices to high-demand slices, thereby resolving the contradiction between reliability and productivity.
Solution Approach 2:
The patent implements feedback mechanisms that monitor network resource usage, slice performance, and service level requirement compliance in real-time. This feedback loop enables the system to detect underutilized resources and automatically rebalance network capacity allocation, ensuring both reliable service delivery and optimal resource utilization without manual intervention.
2Stability of the object's composition
If network slices are pre-allocated to enterprise customers, then predictable networking needs are met, but usage gaps and inefficiencies arise due to static allocation
Solution Approach 1:
The patent applies preliminary action by pre-configuring network slices with sufficient capacity to meet predicted enterprise needs, while simultaneously implementing mechanisms to detect and close usage gaps in real-time. This allows the system to maintain stable allocations for predictable workloads while dynamically adjusting capacity to prevent resource waste during periods of lower utilization.
Solution Approach 2:
The patent enables dynamic parameter changes in network slice configurations, allowing adjustment of bandwidth, latency requirements, and resource allocation parameters based on actual usage patterns. This resolves the contradiction by maintaining stable baseline allocations while permitting flexible parameter adjustments to eliminate waste without compromising reliability.
3Adaptability or versatility
If virtualized network slices are dynamically configured to satisfy service level requirements, then network flexibility is improved, but complexity of managing physical infrastructure components increases
Solution Approach 1:
The patent implements a universal orchestration platform that manages multiple network slices and physical infrastructure components through a single integrated system. This multi-functional approach reduces complexity by consolidating slice management, resource allocation, and performance monitoring into one system rather than requiring separate management mechanisms for each slice or component.
Solution Approach 2:
The patent introduces an intermediary orchestration layer that sits between the virtualized network slices and physical infrastructure components. This intermediary abstracts the complexity of physical resource management, providing simplified interfaces for slice configuration while handling the complex coordination of underlying hardware resources, thereby enabling flexibility without proportionally increasing management complexity.
4Reliability
If network resources are allocated to satisfy dynamic service level requirements, then network performance is improved, but monitoring and identifying usage gaps becomes more difficult
Solution Approach 1:
The patent implements comprehensive feedback mechanisms that continuously monitor network resource usage across all slices, comparing actual consumption against allocated capacity and service level requirements. This real-time feedback system automatically identifies usage gaps where resources are underutilized, enabling the system to maintain high performance while easily detecting and reporting allocation inefficiencies for optimization.
Data Source
AI summary
Systems, devices and methods for customer specific network slicing include a virtual network operator (VNO) server, a first node, and a virtualized network. The VNO server instantiates a solution manager engine which identifies a Solution, communicates the Solution to the first node, and upon acceptance of the Solution by the first node, instructs the virtualized network to couple the first node with a second node in accordance with the Solution. The virtualized network may include network function virtualization infrastructure and the Solution may include a slice of the virtualized network. The slice satisfies a Service Level Requirement (SLR), such as one that specifies a maximum latency for the slice. The SLR is specified in a Need received by the VNO server from the first node. The SLR is determined based upon an application program the first Node is at least one of currently executing and expected to later execute.