Spot Bidding Framework for Dynamic Network Resource Allocation
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Solution Overview
Problem
Current network devices, such as edge routers, face challenges in dynamically provisioning additional licensed spectrum or bandwidth to meet varying traffic demands, as existing solutions are static and costly, leading to inefficient use of resources and increased expenses due to wasted capacity or insufficient spectrum.
Innovation Solution
A spot bidding framework managed by a resource manager allows network devices to dynamically request additional licensed spectrum or bandwidth through negotiation with service providers, using configuration parameters to modify network interfaces and optimize resource usage based on real-time or predicted traffic needs, enabling on-demand access to additional resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static spectrum provisioning is used, then service level agreement parameters are guaranteed, but resource utilization efficiency deteriorates due to wasted capacity when traffic demand is low
Solution Approach 1:
The patent implements dynamic spectrum provisioning that allows network devices to adjust their resource allocation in real-time based on actual traffic demands. The system transitions from static pre-provisioned spectrum to dynamic on-demand spectrum acquisition, enabling network devices to scale resources up or down according to fluctuating traffic patterns, thereby improving resource utilization while maintaining service level agreements through predictive analytics and automated bidding.
Solution Approach 2:
The system changes the parameter of spectrum allocation from fixed static values to dynamic variable values. By using predictive analytics to forecast traffic patterns and implementing automated bidding mechanisms, the system continuously adjusts spectrum allocation parameters based on actual network conditions, transforming the rigid static provisioning model into a flexible dynamic one that optimizes both reliability and efficiency.
2Adaptability or versatility
If static spectrum provisioning is used, then cost predictability is maintained, but adaptability to varying traffic demands deteriorates
Solution Approach 1:
The patent implements a self-service provisioning system where network devices autonomously monitor their own traffic patterns, predict future demands using embedded analytics, and automatically participate in bidding processes to acquire additional spectrum resources. This self-service mechanism eliminates the need for manual intervention in resource provisioning, enabling the system to adapt dynamically to traffic variations without proportionally increasing operational complexity.
Solution Approach 2:
The system incorporates continuous feedback loops where network devices monitor actual traffic patterns, compare them against predictive models, and adjust their bidding strategies accordingly. The resource manager receives feedback from both network devices and service providers to optimize spectrum allocation. This feedback mechanism enables the system to adapt to changing conditions while maintaining manageable complexity through automated closed-loop control.
3Reliability
If licensed spectrum access is pre-provisioned, then service level agreement parameters are guaranteed, but cost efficiency deteriorates due to payment for unused capacity
Solution Approach 1:
The patent implements a strategy where network devices acquire slightly more spectrum capacity than currently needed through predictive analytics, then dynamically allocate and release resources based on actual demand. This partial over-provisioning approach ensures service level agreements are met while minimizing wasted capacity, as the system can quickly release unused spectrum through automated bidding withdrawal, paying only for what is actually utilized during peak periods.
Solution Approach 2:
The system transforms static pre-provisioned spectrum allocation into dynamic on-demand allocation. Network devices can scale their spectrum usage up during high-demand periods and down during low-demand periods, paying only for the capacity they actually consume. This dynamic approach maintains service level agreements by ensuring sufficient capacity is available when needed while dramatically improving cost efficiency by eliminating payments for permanently unused capacity.
4Loss of energy
If additional spectrum is requested in real-time, then resource utilization improves, but service level agreement reliability may deteriorate without predictive capabilities
Solution Approach 1:
The patent implements predictive analytics that perform preliminary actions by forecasting future traffic patterns before they occur. The system analyzes historical data, identifies trends, and predicts upcoming demand surges, allowing network devices to proactively bid for and secure additional spectrum resources in advance. This preliminary action ensures that when traffic demands increase, the necessary resources are already provisioned, maintaining service level agreements while improving resource utilization through timely allocation.
Data Source
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AI summary
Systems, methods, and devices are disclosed for dynamically requesting a network resource. A network device can include a first network interface and a second network interface. A resource manager can receive from the network device a request for an additional resource for the second interface on the network device, the request including negotiation parameters for the additional resource. If a match to the request is found, the resource manager can send to the network device configuration parameters in accordance with the negotiation parameters for the additional resource to be used over the second network interface. The configuration parameters, once received by the network device, cause a modification of the network device such that the additional resource can be used over the second network interface for a period of time.