Prefix Siphoning - Exploiting LSM-Tree Range Filters for Information Disclosure
Explores key disclosure timing attacks on LSM-tree based key-value stores using range filters, demonstrating security vulnerabilities in data storage systems.
SingularFS - A Billion-Scale Distributed File System Using a Single Metadata Server
Innovative distributed file system using a single metadata server for billion-scale operations, featuring log-free metadata, hierarchical concurrency control, and hybrid inode partition.
Light-Dedup - A Light-weight Inline Deduplication Framework for Non-Volatile Memory File Systems
Explore a lightweight deduplication framework for NVM file systems, featuring innovative techniques to enhance performance and reduce costs in next-generation storage media.
LLFree - Scalable and Optionally-Persistent Page-Frame Allocation
Innovative page-frame allocator design for improved scalability, memory efficiency, and optional persistence in operating systems. Outperforms Linux's allocator in multi-core systems and heterogeneous memory environments.
Confidential Computing within an AI Accelerator
Explore IPU Trusted Extensions for secure AI workloads, offering confidentiality and integrity with low overhead. Learn about hardware isolation, encryption, and multi-party training capabilities in Graphcore's AI accelerators.
Bridging the Gap between QoE and QoS in Congestion Control - A Large-scale Mobile Web Service Perspective
Explore a novel approach to enhance mobile web services by bridging Quality of Experience and Quality of Service in congestion control, improving user experience through adaptive algorithms.
Accelerating Distributed MoE Training and Inference with Lina
Explore Lina, an innovative system for accelerating distributed Mixture of Experts training and inference, addressing all-to-all communication bottlenecks in large-scale AI models.
Sponge - Fast Reactive Scaling for Stream Processing with Serverless Frameworks
Innovative stream processing system enabling fast reactive scaling for unpredictable workloads using serverless frameworks. Reduces latency and costs while efficiently handling bursty loads in real-time data processing.
TiDedup - A New Distributed Deduplication Architecture for Ceph
Explore TiDedup, a novel cluster-level deduplication architecture for Ceph, addressing shortcomings in existing designs and improving data reduction, I/O throughput, and reference correction efficiency.
LPNS - Scalable and Latency-Predictable Local Storage Virtualization for Unpredictable NVMe SSDs in Clouds
Explore LPNS, a novel system for latency-predictable local storage virtualization in cloud environments, offering improved QoS control and performance for NVMe SSDs.
MSRL - Distributed Reinforcement Learning with Dataflow Fragments
Explores MSRL, a distributed reinforcement learning system using fragmented dataflow graphs for flexible execution on GPU clusters, offering improved performance and adaptability.
Efficient Memory Overcommitment for I/O Passthrough Enabled VMs via Fine-grained Page Meta-data Management
Innovative approach for efficient memory management in virtualized systems, enhancing resource utilization while ensuring DMA safety through fine-grained page meta-data management.
CXL-ANNS - Software-Hardware Collaborative Memory Disaggregation and Computation for Billion-Scale Approximate Nearest Neighbor Search
Innovative approach for scalable approximate nearest neighbor search using CXL memory disaggregation, caching, and parallel processing to significantly improve performance and efficiency.
Change Management in Physical Network Lifecycle Automation
Explores automated systems for managing large network lifecycles, focusing on change management challenges and solutions for conflict resolution and model representation updates.
Translation Pass-Through for Near-Native Paging Performance in VMs
Innovative memory virtualization mechanism achieving near-native performance in VMs. Enables direct guest-to-host address translation while maintaining isolation through hardware-supported memory tagging.
LoopDelta - Embedding Locality-aware Opportunistic Delta Compression in Inline Deduplication for Highly Efficient Data Reduction
Innovative data compression technique combining deduplication and delta compression for efficient storage. Improves compression ratios and restore performance without affecting backup throughput.
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices
Explores decentralized scheduling for multiple DNN-powered apps on open mobile systems, using Deep Reinforcement Learning to achieve balanced performance gains and energy savings across various scenarios.
EPF - Evil Packet Filter
Explores a new method for bypassing kernel isolation techniques using BPF infrastructure, demonstrating privilege escalation attacks and proposing defenses against such vulnerabilities.
oBBR - Optimize Retransmissions of BBR Flows on the Internet
Optimizing BBR algorithm to reduce retransmissions while maintaining high throughput. Adaptive scaling of in-flight data cap and timely bandwidth estimate updates improve Internet streaming performance.
Decentralized and Stateful Serverless Computing on the Internet Computer Blockchain
Explore the Internet Computer blockchain's innovative approach to decentralized, stateful serverless computing, addressing scalability, persistence, and deterministic scheduling challenges.
On-demand Container Loading in AWS Lambda
Explore AWS Lambda's innovative storage and caching system for efficient container image delivery, addressing challenges in security, efficiency, latency, and cost at massive scale.