Network Hypervisor Control Channel Isolation via Traffic Prediction
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Solution Overview
Problem
In software-defined networking (SDN) based network virtualization, the increase in the number of virtual switches leads to severe latency and interference in control message translation due to the First-In First-Out method, resulting in degraded network control performance.
Innovation Solution
A network hypervisor apparatus that includes a data collector, a control traffic predictor using an LSTM-autoencoder model to predict future control traffic, and a translator to manage control message translation based on prediction results, isolating control channels and optimizing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of virtual switches is increased to provide more network virtualization services, then the network virtualization capability and service capacity are improved, but the control message translation latency increases severely and network control performance deteriorates
Solution Approach 1:
The patent segments the control message translation process by introducing separate translation queues for different virtual switches, isolating the translation operations to prevent mutual interference. This allows multiple virtual switches to be serviced concurrently without one blocking the others, thereby maintaining low latency even as the number of virtual switches increases.
Solution Approach 2:
The patent implements prediction mechanisms that analyze historical control message patterns to forecast future translation requirements. By preparing translation resources and scheduling based on predicted demand, the system proactively manages translation loads before latency issues arise, enabling scalable performance across multiple virtual switches.
2Ease of operation
If the First-In First-Out method is used for control message translation, then the implementation simplicity is maintained, but severe latency and interference occur when multiple virtual switches are present
Solution Approach 1:
The patent divides the single FIFO translation queue into multiple separate queues, one for each virtual switch. This segmentation maintains the simplicity of FIFO within each individual queue while eliminating the interference that occurs when multiple virtual switches share a single queue, thereby improving overall network control performance.
Solution Approach 2:
The patent introduces a translation management intermediary that schedules and routes control messages to appropriate translation queues based on virtual switch identification. This intermediary layer preserves the simplicity of FIFO translation while coordinating access across multiple virtual switches to prevent latency and interference.
Data Source
AI summary
Disclosed is a network hypervisor apparatus for providing a software defined networking (SDN)-based virtual network, the network hypervisor apparatus including a data collector configured to collect control traffic data and network topology information for each virtual switch; a control traffic predictor configured to predict future control traffic based on the control traffic data and the network topology information; and a translator configured to translate a control message corresponding to a virtual switch based on a prediction result.


