This paper proposes CAPS, a scheduling layer for data centers that separates rate computation and packet scheduling, reducing queue occupancy by up to 10x without throughput loss.

This paper compares Google's BBR-v3 Congestion Control Algorithm to eight others over SpaceX's Starlink network, demonstrating its fairness and throughput maximization in high-latency, variable satell…

The paper introduces CCLab, an adversarial testing framework, to systematically evaluate the robustness of both learning-based and traditional congestion controllers, finding that learning-based contr…

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

This paper characterizes the impact of ETSI Decentralized Congestion Control (DCC) on age of information (AoI) for vehicle-to-infrastructure updates, revealing a hyperbolic density dependence and prop…

This paper proposes a value-based DCC method for Intelligent Transport Systems to maintain channel load while retaining more high-value objects.

The paper proposes a method to improve the performance of fine-grained offloads on servers by overlapping the offload with other requests using server-side routing.

The paper analyzes persistent TLS misconfigurations and introduces TLSGatekeeper, a high-performance, network-based tool that enforces security policies by monitoring TLS handshakes without requiring…

This paper introduces Virtual Time-Sensitive Networking (V-TSN), a software-defined overlay for gPTP-based synchronization and TSN traffic shaping over general-purpose networks without specialized har…

This paper proposes a host-driven method for flowlet balancing using Segment Routing over IPv6 (SRv6), reducing tail latency by 15% and 33% compared to random flowlet balancing and ECMP, respectively.

This paper proposes a scheme to coordinate 5G and TSN schedulers for supporting deterministic communications with bounded latencies in industrial applications.

The ZCube topology, which eliminates path multiplicity and reduces switching hardware, delivers better performance for large model training and inference than traditional multipath datacenter networks…

The paper proposes Shaperd, a real-time traffic shaper designed to enhance the resilience of fully encrypted protocols against censorship by allowing users to generate traffic flows with customizable…

The paper proposes a resource-aware integer linear programming model to optimally allocate monitoring depth across heterogeneous network devices, balancing detection capability against computational a…

This paper models transaction fee dynamics on blockchains by treating the transaction queue as a priority queue, providing analytical insights into how user delay costs influence fees.

The paper introduces Spandana, an architecture that decouples SLO enforcement from cost optimization in cloud-based online services, achieving high utilization, strict SLO adherence, and cost savings.

This paper systematically identifies and demonstrates multiple session manipulation attacks against VPN connection tracking frameworks, revealing widespread vulnerabilities in popular VPN services.