Intelligent Network Interconnect for Dynamic Traffic Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network service providers face challenges in deploying scalable and flexible network connectivity due to unpredictable customer movements, sudden changes in traffic patterns caused by events like DDoS attacks or natural disasters, and shifting market dynamics, leading to budgetary issues and performance degradations.
Innovation Solution
The implementation of intelligent network interconnects that can dynamically provision and de-provision services and network paths between multiple networks, allowing for real-time adjustments in response to changing traffic conditions and service demands, utilizing a system with control devices, nodes, and a communication channel to manage network resources and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network service providers deploy fixed network infrastructure to provide communication services, then service coverage and connectivity are established, but the network cannot adapt to unpredictable traffic variations and customer movements, leading to budgetary issues and performance degradations
Solution Approach 1:
The patent implements dynamic network paths and service migration capabilities that allow the network to adapt to changing traffic conditions and customer movements in real-time, transforming the static network infrastructure into a dynamic system that can respond to unpredictable variations without requiring complete network redesign
Solution Approach 2:
The network is divided into multiple network paths and segments that can be independently controlled and managed. This segmentation allows selective activation and deactivation of network segments based on traffic demands, enabling adaptability while maintaining manageable complexity through modular organization
2Reliability
If network infrastructure is designed to handle peak traffic demands, then sufficient capacity is available during high-traffic periods, but network resources remain underutilized during low-traffic periods, causing budgetary inefficiency
Solution Approach 1:
The system dynamically adjusts network resource allocation based on real-time traffic conditions, scaling resources up during peak demands and down during low-traffic periods. This dynamic adjustment ensures reliable service during high-demand periods while minimizing resource waste during low-utilization periods, directly addressing the contradiction between reliability and efficiency
Solution Approach 2:
The patent changes network parameters such as bandwidth allocation, path selection, and service provisioning dynamically based on traffic conditions. By adjusting these parameters in response to real-time demands, the system maintains reliable service when needed while optimizing resource utilization efficiency across varying traffic patterns
3Ease of operation
If traditional network provisioning methods are used, then initial service deployment is straightforward, but the network cannot respond to sudden traffic changes, DDoS attacks, or natural disasters, leading to performance degradations
Solution Approach 1:
The system pre-configures multiple network paths and standby service routes in advance, so that when traffic changes or disruptions occur, pre-prepared alternative paths can be activated immediately without complex real-time decision-making, maintaining both ease of operation and reliability under stress
Solution Approach 2:
The patent implements continuous monitoring and feedback mechanisms that detect traffic conditions, attacks, or failures in real-time and automatically trigger appropriate responses such as path switching or service migration. This feedback-driven approach maintains simple operation while significantly improving reliability during adverse conditions
Data Source
AI summary
An intelligent network interconnect may include a control channel and a plurality of nodes. The plurality of nodes may include a first node coupled to a first network and a second node coupled to a second network. Each of the plurality of nodes is coupled to the control channel. The intelligent network interconnect may also include a control device coupled to the control channel. The intelligent network interconnect may be configured to: collect network data from the first node and the second node, wherein the network data includes traffic data of the first network; obtain metrics based on the collected network data; detect an event based on the metrics and the collected network data; and a rule whose condition matches the event; and send a command over the control channel, to one or more of the nodes, to perform an action associated with the rule.