Dynamic VPNC Gateway Selection for Network Fault Tolerance
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Solution Overview
Problem
Conventional SD-WANs face inefficiencies in distributing VPN tunnels among VPN concentrators, leading to underutilization of resources and lack of real-time traffic optimization based on user behavior and network conditions, resulting in suboptimal network performance and fault tolerance.
Innovation Solution
Implementing dynamic VPN concentrator (VPNC) gateway selection techniques that adjust routing decisions based on user behavior, destination service health, and real-time network conditions, allowing for granular traffic management and on-demand VRF-ID configuration to optimize resource use and enhance fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static VPNC gateway selection is used, then device complexity is reduced, but network resource utilization deteriorates and fault tolerance is reduced
Solution Approach 1:
The patent implements dynamic VPNC gateway selection that adapts to real-time network conditions, user behavior patterns, and service health status. The system continuously monitors and adjusts gateway routing decisions, transforming the static selection mechanism into a dynamic one that responds to changing conditions, thereby improving fault tolerance and resource utilization without requiring complex manual configuration
Solution Approach 2:
The system incorporates feedback loops that monitor network conditions, user behavior, and service health, then use this information to adjust gateway selection decisions. This feedback mechanism enables the system to learn from past performance and optimize routing dynamically, improving reliability while maintaining automated operation that doesn't increase operational complexity
2Productivity
If dynamic VPNC gateway selection based on user behavior is implemented, then network resource utilization is improved, but device complexity increases
Solution Approach 1:
The system employs machine learning models that automatically analyze user behavior patterns and make gateway selection decisions without human intervention. The automated nature of the system allows it to self-optimize resource utilization by learning from historical data and adapting to user preferences, improving productivity while the automation masks the underlying complexity from operators
Solution Approach 2:
The patent dynamically changes routing parameters based on monitored user behavior patterns, network conditions, and service health metrics. By adjusting these parameters automatically based on observed patterns rather than fixed rules, the system improves resource utilization while the complexity is managed through automated parameter optimization rather than manual configuration
3Productivity
If real-time network condition monitoring is implemented, then traffic optimization is improved, but use of energy increases
Solution Approach 1:
The system implements periodic monitoring and evaluation cycles rather than continuous real-time analysis. By sampling network conditions at optimized intervals and using batch processing for analysis, the system achieves effective traffic optimization while reducing the continuous energy consumption associated with constant monitoring and processing
Solution Approach 2:
The patent applies monitoring and optimization selectively based on priority levels and current network states. Rather than uniformly monitoring all traffic and conditions at maximum intensity, the system adjusts the level of monitoring and optimization effort based on actual needs, achieving effective traffic optimization while conserving energy by avoiding excessive processing
Data Source
AI summary
Systems and methods are provided for dynamic virtual private network concentrators (VPNC) gateway selection and on-demand VRF-ID configuration. A dynamic VPNC gateway selection component can dynamically route to a particular VPNC gateway based on multiple user-specific factors, including: a) behavior of users on the network; and b) performance of a destination service/device. A dynamic VPNC gateway selection component can rank a user based on one or more factors relating to the behavior of the user. Also, the dynamic VPNC gateway selection component can determine whether a VPNC gateway at a data center is healthy, and whether a destination service at the data center is healthy. The dynamic VPNC gateway selection component can dynamically select a VPNC gateway from a plurality of VPNC gateways at the data center for communicating forwarded traffic from the user based on the user's ranking if either the VPNC gateway or the service are unhealthy.