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Innovative AR system with RF sensing enables perception of occluded objects, enhancing applications in manufacturing, warehousing, and smart homes through advanced localization and verification techniques.
Distributed network sequencing system for improved scalability, fault tolerance, and load balancing in distributed applications, offering performance gains over traditional ordering protocols.
Isolated and adaptive swapping system for multi-application remote memory, minimizing interference and performance degradation through dedicated swap paths and optimized techniques for datacenter applications.
Innovative metamaterial surface enhances mmWave network reliability, reducing blockage vulnerability and improving indoor/outdoor coverage. Boosts SNR by up to 30 dB and significantly reduces link failures.
SHEPHERD: A scalable model serving system that optimizes goodput, resource utilization, and scalability for unpredictable workloads, using a two-level design and novel online algorithm for efficient DNN inference.
Innovative ad exchange system offering privacy, verifiability, and efficiency. Enhances transparency in online advertising while maintaining speed and scalability for real-world implementation.
Unveils practical vulnerabilities in ML-based wireless systems through RAFA, a hardware-implemented adversarial attack platform, demonstrating significant performance drops in communication and sensing approaches.
Innovative system for managing overload in applications with complex lock contention, improving throughput and reducing latency through adaptive admission control and latency-aware synchronization.
Innovative approach to network function processing in public clouds, offering improved reliability and performance at lower costs through disaggregation and shared resource pools.
Elegant hardware acceleration for state machine replication using FPGA-based SmartNICs. Achieves high performance in common scenarios while maintaining software flexibility for rare cases.
Traffic measurement platform for Exchange Online, fusing multiple data sources to profile network characteristics and reduce costs while maintaining low overhead.
Explores innovative 5G RAN slicing technique for improved spectrum efficiency, fairness, and customization. Introduces RadioSaber, achieving superior throughput while supporting diverse enterprise scheduling policies.
Innovative memory management technique for edge video analytics, reducing GPU memory usage by 60.7% and improving accuracy by 8-39% through model merging and optimized inference schedules.
Modular learning framework for predicting end-to-end latency in distributed systems, reducing adaptation costs and improving accuracy for better performance tuning in cloud deployments.
Explore CyberCIEGE's network security simulation game, its Scenario Development Kit, and techniques for creating customized scenarios to teach cybersecurity concepts through interactive storytelling.
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