Laboratory Directions
Six laboratories for creation and scientific validation of next-generation AI-accelerated network technologies
Technologies in Focus
Research Projects
Active projects are in development. Planned projects are in preparation.
Network Performance Lab
Optimization of QUIC/MASQUE, BBRv3, FEC to achieve target performance metrics: RTT ≤ 50 ms, jitter < 1 ms, goodput +15%. Comprehensive platform for testing and analyzing network protocols with real-time visualizations.
Active
Network Performance Lab
Optimization of QUIC/MASQUE, BBRv3, FEC to achieve target performance metrics: RTT ≤ 50 ms, jitter < 1 ms, goodput +15%. Comprehensive platform for testing and analyzing network protocols with real-time visualizations.
Optimization of QUIC/MASQUE, BBRv3, FEC to achieve target performance metrics: RTT ≤ 50 ms, jitter < 1 ms, goodput +15%. Comprehensive platform for testing and analyzing network protocols with real-time visualizations.
Deliverable
quic-test v1.0, BBRv3 + FEC Performance Report, TUI monitoring, Prometheus integration
KPI
- RTT ≤ 50 ms
- jitter < 1 ms
- goodput +15%
- Throughput +10-12%
- Jitter -40-50%
Key Directions
BBRv3 Optimization
BBRv3 integration according to draft-ietf-ccwg-bbr-04 with throughput +10-12% and jitter -40-50% improvements
Real-time Monitoring
Professional TUI visualization with live QUIC metrics, heatmaps, correlation analysis
Network Simulation
Linux tc integration with preset profiles for testing various conditions (WiFi, LTE, 5G, Satellite)
AI Routing Lab
Next-generation predictive routing using machine learning to optimize route selection by latency/jitter metrics. System achieves >92% prediction accuracy (R²) and <10ms inference time. Integration with quic-test platform for model validation on real QUIC traffic and various network conditions (WiFi, LTE, 5G). Development of ensemble methods to ensure robustness and anomaly resilience.
Active
AI Routing Lab
Next-generation predictive routing using machine learning to optimize route selection by latency/jitter metrics. System achieves >92% prediction accuracy (R²) and <10ms inference time. Integration with quic-test platform for model validation on real QUIC traffic and various network conditions (WiFi, LTE, 5G). Development of ensemble methods to ensure robustness and anomaly resilience.
Next-generation predictive routing using machine learning to optimize route selection by latency/jitter metrics. System achieves >92% prediction accuracy (R²) and <10ms inference time. Integration with quic-test platform for model validation on real QUIC traffic and various network conditions (WiFi, LTE, 5G). Development of ensemble methods to ensure robustness and anomaly resilience.
Deliverable
AI Routing Lab v1.1 with LatencyPredictor, JitterPredictor, quic-test integration, ensemble models (Random Forest + Gradient Boosting), Prometheus/Grafana monitoring, and full production network validation
KPI
- Latency/jitter prediction accuracy >92% (R²)
- inference time <10ms
- ensemble architecture
- adaptability to network changes
Tech Stack
Key Directions
Ensemble ML Models
Combination of Random Forest (fast training), Gradient Boosting (accuracy), and XGBoost (regularization) to achieve >92% accuracy with overfitting resistance
Advanced Feature Engineering
Extraction of 50+ features: temporal (hour, day), statistical (mean RTT, jitter variance, loss rate), domain (AS path length, BGP precedence), and cross-route correlation features
Real QUIC Traffic Validation
End-to-end testing on quic-test platform with WiFi, LTE, 5G, Satellite profiles for real-world model validation with >30-day time series
Adaptive Online Learning
Continuous learning mechanism with incremental model updates based on new traffic data to adapt to changing network conditions
MASQUE VPN Lab
Development and optimization of MASQUE VPN solution based on QUIC protocol. Implementation of secure tunneling using RFC 9298, support for HTTP/3, UDP and TCP proxying. Integration with CloudBridge Relay for creating high-performance VPN infrastructure with low latency and connection migration support.
Active
MASQUE VPN Lab
Development and optimization of MASQUE VPN solution based on QUIC protocol. Implementation of secure tunneling using RFC 9298, support for HTTP/3, UDP and TCP proxying. Integration with CloudBridge Relay for creating high-performance VPN infrastructure with low latency and connection migration support.
Development and optimization of MASQUE VPN solution based on QUIC protocol. Implementation of secure tunneling using RFC 9298, support for HTTP/3, UDP and TCP proxying. Integration with CloudBridge Relay for creating high-performance VPN infrastructure with low latency and connection migration support.
Deliverable
MASQUE VPN v2.0, CloudBridge Relay with MASQUE support, client libraries, integration documentation, performance benchmarks
KPI
- Connection setup <50ms
- Throughput >950 Mbps
- Latency p99 <12ms
- Connection migration <5ms
- 0-RTT support
Key Directions
MASQUE Protocol Implementation
Full RFC 9298 implementation with CONNECT_UDP, CONNECT_IP and HTTP/3 tunneling support
QUIC-based VPN
High-performance VPN solution based on QUIC with native multiplexing and connection migration
CloudBridge Relay Integration
MASQUE integration into CloudBridge Relay infrastructure for creating global VPN network
Performance Optimization
Performance optimization using BBRv3, FEC and 0-RTT for minimal latency
Security & ZTNA Lab
Validation of Zero-Trust Overlay architecture, eBPF DDoS mitigation, ISO 27001 and SOC-2 Type I compliance. QUIC and TLS security testing using quic-test platform.
Planning
Security & ZTNA Lab
Validation of Zero-Trust Overlay architecture, eBPF DDoS mitigation, ISO 27001 and SOC-2 Type I compliance. QUIC and TLS security testing using quic-test platform.
Validation of Zero-Trust Overlay architecture, eBPF DDoS mitigation, ISO 27001 and SOC-2 Type I compliance. QUIC and TLS security testing using quic-test platform.
Deliverable
Security Report, Policy Controller v2, TLS/QUIC Security Analysis
KPI
- ISO 27001 Annex A
- SOC-2 Type I
- TLS 1.3 validation
Tech Stack
Key Directions
Zero-Trust Overlay
Secure overlay architecture for cloud systems with full encryption
TLS/QUIC Security Testing
Comprehensive cryptographic protocol testing via quic-test
Attack Mitigation
Kernel-level DDoS, replay, timing attack protection
Industrial Connectivity Lab
IIoT / SCADA / VLAN segmentation for industrial systems with FSTEC 152-FZ compliance. QUIC for reliable delivery of critical data in industrial networks.
Planning
Industrial Connectivity Lab
IIoT / SCADA / VLAN segmentation for industrial systems with FSTEC 152-FZ compliance. QUIC for reliable delivery of critical data in industrial networks.
IIoT / SCADA / VLAN segmentation for industrial systems with FSTEC 152-FZ compliance. QUIC for reliable delivery of critical data in industrial networks.
Deliverable
Demo stand Industrial VLAN Gateway, QUIC/SCADA integration
KPI
- <0.5% loss
- FSTEC 152-FZ
- real-time delivery
Tech Stack
Key Directions
QUIC for SCADA
Reliable delivery protocol for industrial data
Network Segmentation
VLAN and zero-trust for IIoT systems
Regulatory Compliance
FSTEC 152-FZ and international standards compliance
Telemetry & Analytics Lab
Federated observability, SLO dashboards, latency vs route correlation >0.9 for comprehensive network monitoring. Real-time metrics from quic-test into Prometheus + Grafana.
Planning
Telemetry & Analytics Lab
Federated observability, SLO dashboards, latency vs route correlation >0.9 for comprehensive network monitoring. Real-time metrics from quic-test into Prometheus + Grafana.
Federated observability, SLO dashboards, latency vs route correlation >0.9 for comprehensive network monitoring. Real-time metrics from quic-test into Prometheus + Grafana.
Deliverable
Prometheus + Grafana SDK, Data Lake, quic-test integration
KPI
- Correlation >0.9
- real-time quic-test metrics
Tech Stack
Key Directions
QUIC Observability
Real-time QUIC parameter monitoring from quic-test
SLO-Driven Monitoring
SLO dashboards with Grafana
Storage & Analytics
Data Lake for long-term analysis and trends
Quantum-Safe Lab
Comprehensive quantum protection laboratory: PQ-QUIC and PQ-MASQUE protocol integration, hybrid cryptographic schemes (classical + post-quantum), crypto-agility for seamless migration. Open and closed lab sections for different access levels.
NDA
Quantum-Safe Lab
Comprehensive quantum protection laboratory: PQ-QUIC and PQ-MASQUE protocol integration, hybrid cryptographic schemes (classical + post-quantum), crypto-agility for seamless migration. Open and closed lab sections for different access levels.
Comprehensive quantum protection laboratory: PQ-QUIC and PQ-MASQUE protocol integration, hybrid cryptographic schemes (classical + post-quantum), crypto-agility for seamless migration. Open and closed lab sections for different access levels.
Deliverable
PQ-QUIC prototype, PQ-MASQUE integration, Hybrid TLS 1.3 demo, Crypto-agility framework
KPI
- PQ-QUIC handshake <100ms
- Hybrid overhead <15%
- Crypto-agility migration <1min
Key Directions
PQ-QUIC / PQ-MASQUE
Post-quantum protection for QUIC and MASQUE tunnels with ML-KEM key exchange
Hybrid Schemes
Combination of X25519 + ML-KEM for backward compatibility and quantum safety
Crypto-agility
Framework for rapid cryptographic algorithm switching without downtime
Open Lab / Closed Lab
Public research and NDA-protected projects for partners
QUIC CPU Optimization Lab
CPU optimization laboratory for QUIC protocol: research on low-level packet processing optimizations, SIMD-accelerated cryptography, hot-path code profiling and optimization. Closed research for NDA partners.
NDA
QUIC CPU Optimization Lab
CPU optimization laboratory for QUIC protocol: research on low-level packet processing optimizations, SIMD-accelerated cryptography, hot-path code profiling and optimization. Closed research for NDA partners.
CPU optimization laboratory for QUIC protocol: research on low-level packet processing optimizations, SIMD-accelerated cryptography, hot-path code profiling and optimization. Closed research for NDA partners.
Deliverable
CPU profiling toolkit, SIMD crypto acceleration, Hot-path optimization guide, Benchmark suite
KPI
- CPU usage -30%
- Packets/sec +50%
- Latency p99 -20%
Key Directions
SIMD Cryptography
AVX2/AVX-512 acceleration for AES-GCM and ChaCha20-Poly1305 for high throughput
Hot-path Optimization
Profiling and optimization of critical QUIC packet processing paths
Zero-copy Architecture
Minimizing memory data copying to reduce CPU overhead
Benchmark Suite
Comprehensive test suite for measuring optimization performance
Laboratory Research
Reports and results from our laboratory experiments
Research Goals
Creating scientific foundation to validate CloudBridge-overlay effectiveness at industry standards level
Scientific Validation
Validating technology effectiveness at industry standards level
Patenting
Development and patenting of new routing and error correction methods
Publications
Preparing publications and whitepapers for IEEE / ACM / IETF