Range-Variable Intent Configuration for Adaptive Resource Allocation
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Solution Overview
Problem
In complex systems such as cellular networks, variations in system resources and network conditions lead to suboptimal performance due to numerous interactions between management functions and infrastructure management.
Innovation Solution
Implement an intent-based network management system that includes a network management function to generate prioritized goals and an infrastructure service management system to select and configure computing resources to satisfy these goals, allowing for adaptive resource allocation and reduced communication overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional network configuration pushing down to lower level management functions is used, then configuration can be applied to each network function, but numerous interactions between management functions and infrastructure management result in suboptimal performance
Solution Approach 1:
An intent expectation interface is introduced as an intermediary layer between the network management function and the infrastructure service management system. This interface receives intent expectations from the network management function and translates them into configuration actions, reducing the number of direct interactions required between management functions and infrastructure management while maintaining comprehensive configuration capability.
2Adaptability or versatility
If generic computing resources are used for virtualized RAN processing, then scalability and fault tolerance are improved, but resource allocation optimization becomes more difficult due to variations in system resources and network conditions
Solution Approach 1:
The system dynamically selects active targets from a set of prioritized goals based on current resource status and network conditions. The infrastructure service management system continuously monitors resource availability and adjusts which goals are actively pursued, enabling optimal resource allocation that adapts to varying system resources and network conditions while maintaining scalability.
Solution Approach 2:
The system changes the state of goals from static requirements to dynamic prioritized objectives. By representing resource allocation as a set of prioritized goals with varying states (satisfied, partially satisfied, not satisfied), the system can flexibly adjust resource allocation parameters based on current conditions, improving both adaptability and efficiency.
Data Source
AI summary
Described are examples for providing intent based network configuration with intent expectations including prioritized goals. A system for network configuration includes a network management function configured to receive an intent including requirements, goals, and constraints for a network and generate an intent expectation including a set of prioritized goals based on the intent. An infrastructure service management (ISM) system is configured to: receive the intent expectation from the network management function; select at least one of the prioritized goals as an active target; configure computing resources to satisfy at least the active target; and report the active target and a configuration status to the network management function. The ISM may monitor a status of the computing resources and select a higher priority goal that can be satisfied or select a lower priority goal in the case of resource or performance degradation.