Zero-Change Object Transmission for Distributed Big Data Analytics
Explore zero-change object transmission for efficient data exchange in distributed big data analytics, improving performance without code modifications.
KRCORE - A Microsecond-scale RDMA Control Plane for Elastic Computing
Microsecond-scale RDMA control plane for elastic computing, enabling rapid connection establishment and efficient data transfer in distributed systems and serverless environments.
ECOS - Practical Mobile Application Offloading for Enterprises
Explore ECOS, an enterprise-centric offloading system for mobile applications, addressing privacy concerns and resource management to improve handheld device performance and energy efficiency.
Runtime Programmable Switches
Runtime programmable switches enabling partial reconfiguration of network data planes without service disruption. FlexCore design allows flexible updates with consistency guarantees, demonstrating feasibility and benefits for future networks.
HeteroSketch - Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks
Innovative framework for optimizing network-wide monitoring in diverse, dynamic environments. Reduces resource overhead while maintaining performance, coverage, and accuracy through automated profiling and task allocation.
Automated Verification of Network Function Binaries
Automated technique for verifying network function binaries without source code, using ghost maps to model data structures and infer control flow, enabling operators to ensure reliability of proprietary software.
Swift - Adaptive Video Streaming with Layered Neural Codecs
Explores Swift, an adaptive video streaming system using layered neural codecs for fine-grained rate adaptation, offering improved compression and decoding efficiency over traditional layered coding approaches.
A Case for Task Sampling Based Learning for Cluster Job Scheduling
Innovative task sampling approach for cluster job scheduling, improving runtime property estimation and reducing job completion time compared to history-based predictors.
Starlight - Fast Container Provisioning on the Edge and over the WAN
Accelerates container provisioning for edge and WAN environments by redesigning deployment protocols, filesystem, and image storage, achieving 3x faster deployment with minimal overhead.
Privid - Practical, Privacy-Preserving Video Analytics Queries
Explore privacy-preserving video analytics with Privid, a system enforcing duration-based privacy for public surveillance footage while maintaining utility for various applications.
Synchronizing Clocks by Leveraging Local Clock Properties
Innovative clock synchronization system leveraging local clock properties to improve accuracy and failure tolerance, reducing drift by up to 2000× for high-performance applications requiring sub-microsecond precision.
YuZu - Neural-Enhanced Volumetric Video Streaming
Explore neural-enhanced volumetric video streaming with YuZu, boosting quality and efficiency through 3D super resolution, QoE modeling, and adaptive resource management for immersive 6DoF experiences.
Spectrum - High-bandwidth Anonymous Broadcast
High-bandwidth anonymous file broadcasting system optimizing for few broadcasters and many subscribers. Offers improved throughput, malicious client prevention, and broadcaster deanonymization protection.
Performance Interfaces for Network Functions
Explores performance interfaces for network functions, introducing PIX tool to extract and analyze performance data, aiding developers and operators in optimizing network systems.
Donar - Anonymous VoIP over Tor
Explore DONAR, a system enabling anonymous VoIP over Tor with high quality-of-experience through innovative traffic management and performance optimization techniques.
Cetus - Releasing P4 Programmers from the Chore of Trial and Error Compiling
Automated system for converting uncompilable P4 programs into compilable versions, addressing fitting issues in programmable switches and significantly reducing development time.
Efficient Scheduling Policies for Microsecond-Scale Tasks
Explores efficient scheduling policies for microsecond-scale tasks in datacenters, comparing load-balancing and core allocation strategies to optimize latency and resource utilization.
Ekya - Continuous Learning of Video Analytics Models on Edge Compute Servers
Continuous learning for edge video analytics models, addressing data drift and balancing inference-retraining tradeoffs. Ekya optimizes resource allocation for improved accuracy with fewer GPU resources.
Decentralized Cloud Wide-Area Network Traffic Engineering with BLASTSHIELD
Decentralized WAN traffic engineering system slicing networks into fault domains, maximizing throughput without central coordination while reducing traffic loss from controller failures.
SCALE - Automatically Finding RFC Compliance Bugs in DNS Nameservers
Automated tool for finding RFC compliance bugs in DNS nameservers. Generates test cases to uncover implementation differences and vulnerabilities, improving DNS software reliability and security.
MLaaS in the Wild - Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters
Analyze workload challenges in large-scale heterogeneous GPU clusters for ML-as-a-Service, addressing issues like utilization, queueing delays, and resource imbalance.