Jul 2026· International Conference on Optical Communications and Networks· pp. 1-3· 0 citations· 11 references
Abstract
High-precision and large-capacity network delay emulation is essential for algorithm validation and system testing in cloud computing, satellite communications and vehicular IoT. This paper proposes a novel FPGA-based high-bandwidth delay emulation method, which buffers packets in on-chip Ultra RAM, maps packet identifiers to RAM addresses via a single-cycle 32-bit parallel CRC32 hash, and schedules packets by target egress timestamps using a Push-In First-Out (PIFO) mechanism. Experiments confirm that the system achieves lossless emulation of 1.5 ms network delay at 10 Gbps line rate.
Programmable network data planes enable limited in-network computation, but most prior work has focused on narrow primitives or small-scale prototypes. This paper demonstrates real-time processing of high-dimensional image streams at near-terabit rates on the FABRIC testbed using programmable switches. We design a lightweight rare phenomena detection mechanism that computes payload-consistent fingerprints using a hybrid neutralized-TCP checksum technique compatible with P4 switch pipeline constraints. The system is implemented on an Intel Tofino switch and evaluated across the FABRIC terabit core ring using distributed traffic generators. Our results demonstrate reliable detection of payload changes and sustained 755 Gbps in-network fingerprinting throughput. To our knowledge, this is the first demonstration of payload-consistent fingerprinting implemented entirely within a programmable switch pipeline and evaluated at multi-100 Gbps scale on a wide-area experimental infrastructure.
G. Sankaran, I. Torres, Seena Vazifedunn et al.· International Conference on...· 0 citations
Evaluation results show that, while these mechanisms consume a small amount of link bandwidth, CBFC can greatly reduce receive buffer utilization, and LLR can substantially mitigate network performance degradation caused by packet corruption.
Kefei Liu, Ruixue Wang, Tianrun Jiang et al.· Proceedings of the ACM SIGCO...· 0 citations