Dynamic Adaptive Network Resource Allocation
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Solution Overview
Problem
Existing network management systems struggle to dynamically adapt to changing service requirements and device connections, leading to inefficiencies in service delivery and resource allocation, particularly in complex multimedia environments with varying numbers of devices accessing the network.
Innovation Solution
A dynamic adaptive network (DAN) system that includes controllers, extenders, and user devices, which dynamically manage network connections and resource allocation based on service requirements and device access, using techniques such as pseudo Time Division Multiplexing (TDM) and Quality of Service (QoS) prioritization to ensure optimal service performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a network uses traditional static resource allocation, then device complexity is reduced, but adaptability to changing service requirements deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where network resources are continuously adjusted based on real-time service requirements and device conditions. The system transitions from static to dynamic configuration, allowing the network to adapt to changing multimedia service demands while maintaining manageable complexity through automated control mechanisms.
Solution Approach 2:
The network management system incorporates feedback loops that monitor service performance and device status, then automatically adjust resource allocation accordingly. This closed-loop control enables the system to adapt to changing conditions while maintaining stability through continuous optimization based on actual network state.
2Reliability
If the network dynamically adapts to changing conditions, then service performance is improved, but device complexity increases
Solution Approach 1:
The network management system operates autonomously, making real-time decisions about resource allocation without requiring manual intervention. The system self-adjusts to changing service requirements and device conditions, improving reliability while containing complexity within the automated management plane rather than requiring complex user-side configurations.
Solution Approach 2:
The system dynamically changes network parameters such as bandwidth allocation, QoS settings, and resource distribution based on monitored service requirements. By adjusting these parameters automatically, the system maintains high service performance while managing complexity through centralized control rather than distributed device complexity.
3Adaptability or versatility
If network resources are allocated based on threshold device access, then adaptability to service requirements is improved, but loss of time in resource allocation increases
Solution Approach 1:
The system performs preliminary configuration and resource reservation based on predicted service requirements and historical patterns. By pre-establishing resource allocation frameworks and threshold-based access rules, the system reduces real-time decision complexity and acceleration resource allocation when devices access services, thereby reducing time loss while maintaining adaptability.
Data Source
AI summary
Systems and methods for managing a network are disclosed. In certain systems and methods, access to a network such as a wireless network, can be granted or denied based upon a threshold number of devices accessing the network. Moreover, access to a first service available over the network can be granted or denied based upon a threshold number of devices accessing the first service. Various network resource can be allocated to the first service based at least upon the number of device access the first service.