Jul 2026· International Conference on Computer Communications and Networks· pp. 1-6· 0 citations· 23 references
Abstract
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.
TCP-SYN port scanning often precedes cyber-attacks, and early detection of scanner fingerprints embedded in packet headers can provide timely intrusion alerts. Existing approaches are either too computationally expensive for line-rate operation or limited to offline analysis. This brief presents a lightweight FPGA arch...
Faisal Saeed, Mohammad Fahad, Ayesha Javaid et al.· 0 citations
This paper presents an FPGA-based SmartNIC architecture designed to address critical network challenges in data-intensive scientific computing. As scientific workflows increasingly demand high-bandwidth data movement and real-time monitoring across wide-area networks, the Open Cloud Testbed (OCT) provides an ideal plat...
Miriam Leeser, Michael Zink, Suranga Handagala et al.· 0 citations
A new class of highly scalable, effective, and resilient network-native services is made possible by Synapse, which removes the main storage bottleneck in contemporary data centers by offloading the entire telemetry capture process to the network fabric.
Seyed Hossein Ahmadpanah, A. Sahafi, S. Erfani· Journal of Supercomputing· 0 citations
Modern AI workloads increasingly rely on scale across architectures that interconnect multiple datacenters to form a single"AI factory", overcoming the power and cooling constraints of individual sites. However, extending Remote Direct Memory Access (RDMA) across wide area networks (WANs) introduces fundamental challen...
Yi-Cheng Qian, Konstantin Taranov, Yevgeny Yankilevich et al.· 0 citations
This paper presents our experiences in deploying YU, Alibaba’s in-house traffic load verification system for wide area networks (WAN), in data center networks (DCN). We encounter two key challenges: the opaque ISP challenge, where the opaque nature of the configurations of peering ISPs results in low accuracy of inter-...
Zijian Zhang, Yi-Fan Li, Xing Fang et al.· IEEE Transactions on Network...· 0 citations
In data networks carrying large numbers of flows, Heavy Hitters (HHs) or Elephant flows are the flows exceeding pre-determined thresholds (e.g. number of packets or bytes) in a given time window. Such HH flows need to be handled differently in order to minimize their impact on other smaller flows. HH detection techniqu...
Adarsha K. Sasidhar, Krishna M. Sivalingam, Gauravdeep Shami et al.· 0 citations
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