
Innovative OS scheduler for serverless functions, combining SRPT and proportional-share scheduling to optimize performance of short-lived tasks while preventing starvation of longer functions.

Continuous fuzzing technique for enterprise-level DBMSs, addressing challenges in SQL grammar, codebase evolution, and anomaly analysis. Discovered 236 bugs across 12 major DBMSs.

Innovative SSD failure prediction scheme using mutation similarity for data centers. Improves precision and recall, enables early rating and progressive diagnosis for enhanced storage reliability.

Innovative system enabling high-density mobile cloud gaming on SoC Clusters through efficient resource partitioning and cross-SoC offloading, increasing game density by 4.5x while maintaining performance.

Innovative approach for secure and efficient maintenance of Confidential Virtual Machines, introducing Confidential Procedure Calls to enhance performance, security, and flexibility in cloud computing environments.

Innovative video surveillance system reducing data sent to cloud by 22% while maintaining 92% detection accuracy. Utilizes tile sampling for efficient traffic monitoring on low-cost edge devices.

Explore ByteDance's PCDN+ system, enhancing video content delivery with cost-efficient edge resources. Learn about its centralized/decentralized framework, improved resource utilization, and higher service speeds.

Innovative system PASS leverages persistent memory for efficient MicroVM SnapStart execution, reducing execution time and doubling concurrency compared to existing solutions.

Innovative edge server design using mobile SoCs for improved energy efficiency in cloud gaming, video transcoding, and deep learning inference, with insights on performance and cost-effectiveness.

Innovative multi-GPU acceleration for Vulkan-based ray tracing, enabling cloud offloading and dynamic workload balancing for enhanced rendering performance and scalability.

Optimizing deep learning programs by generating complete operator graphs through runtime monitoring, enhancing performance for complex Python-based DNN implementations.

Innovative serverless platform REWIND enhances security and efficiency by resetting containers, using kernel-level snapshots, and optimizing memory usage, improving performance while maintaining data isolation between function requests.

Innovative system for detecting and diagnosing application-network anomalies in large-scale cloud environments, using TCP retransmission metrics for efficient, accurate, and timely issue resolution.

Innovative strategy for optimizing video feed streaming using knowledge graphs to predict content popularity and improve resource allocation, resulting in reduced bandwidth costs and faster download speeds.

Innovative RDMA framework for multi-tenant cloud environments, offering performance isolation and work conservation without compromising bare-metal performance through a novel RNIC preemption mechanism.

Kivi: A pioneering system for verifying Kubernetes controllers and configurations, addressing challenges in cloud infrastructure management through model checking and optimization techniques.

Empirical study on Rust-for-Linux project, analyzing its impact on kernel safety and performance. Explores successes, challenges, and compromises in integrating Rust into the Linux ecosystem.

Optimizing serverless computing resource utilization with Jiagu: novel techniques for accurate prediction, efficient scaling, and improved deployment density while maintaining QoS.

Explore FiTx, a framework for fast, daily bug detection in Linux. Learn how it balances analysis time and bug-finding capabilities, outperforming existing tools in speed and effectiveness.

Innovative telemetry technique for efficient hot/cold data detection in terabyte-scale applications, enabling improved memory tiering and performance in data centers with tiered memory architectures.

Innovative fuzzing framework for distributed file systems, addressing complexity and scalability challenges through multi-node architecture, fault injection, and semantic checking.