This paper investigates a network side-channel vulnerability in multi-tenant datacenter fabrics caused by shared congestion behavior, achieving up to 97.3% run-level accuracy in workload inference.

Proposed ProFlow, a proactive flow-placement framework using distributed telemetry signals and offline-trained RL for identifying precursor congestion conditions and rerouting protected flows in multi…

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…

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 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 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 evaluates the feasibility and cost-effectiveness of large-scale AI data centers in low-Earth orbit (LEO) versus terrestrial facilities, considering factors like launch cost, power generatio…

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.

SPARK introduces a predictive, traffic-aware autoscaling toolchain for Kubernetes that uses eBPF to enhance security and significantly reduce timeout errors during sudden traffic spikes.

The paper proposes n-VM, a novel Layer-1 architecture that unifies multiple heterogeneous virtual machines (VMs) onto a shared consensus and state layer, solving cross-chain fragmentation issues.

This paper proposes cross-IP request coalescing to reduce latency in virtualized cloud data centers by submitting multi-device I/O as a single compound request.

immUNITY is a system that enhances network security by combining programmable switches and SmartNICs to efficiently detect and mitigate low-volume and slow network attacks.

This paper proposes SHIFT, a topology-agnostic approach for communication-aware workload placement and routing optimization in large-scale heterogeneous systems, achieving up to 12.5x throughput impro…

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.

This paper develops a runtime recovery framework for broadcasting in dense Gaussian networks under static and dynamic faults, proving necessary and sufficient repair edges and providing efficient repa…

This paper proposes a carbon-aware routing policy for geo-distributed cloud deployments, achieving up to 46.8% carbon reduction while maintaining zero SLA violations.

This paper introduces constant-time certificate selectors for repairing faults in Dense Gaussian and Eisenstein--Jacobi networks, allowing for efficient and effective repair with a bounded number of e…

This paper argues that idle cores on contemporary multicore processors can return compute capacity and proposes a budget-centric view of service core systems.