Freeplane high dpi1/8/2024 The proposed design includes a purely GPU-implemented flow tracking and TCP stream reassembly. In this work, we present a highly efficient GPU-based deep packet/flow analysis framework. Since the flow-centric operations are naturally antiparallel and often require large memory space for buffering out-of-sequence packets, they can be problematic for GPUs, whose memory is normally limited to several gigabytes. However, for stateful network protocols such as TCP, their data stream need to be reconstructed in a per-flow level to deliver a consistent content analysis. The parallel architecture of GPUs fits exceptionally well for per- packet network traffic processing. Typically, DPI applications involve highly complex operations in both per- packet and per-flow data level, often in real-time. Recently, researchers have tentatively used GPUs to address the above issues and boost the performance of DPI. (FNAL), Batavia, IL (United States)ĭeep packet inspection (DPI) faces severe performance challenges in high-speed networks (40/100 GE) as it requires a large amount of raw computing power and high I/O throughputs. (FNAL), Batavia, IL (United States) DeMar, Phil [Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States) Wu, Wenji [Fermi National Accelerator Lab. Gong, Qian [Fermi National Accelerator Lab. Detailed traffic analysis demonstrates that packet lossratios of 1e-10 are feasible under bursty traffic conditions for a highcapacity network consisting of asynchronously operated add-drop switch.Įnergy Technology Data Exchange (ETDEWEB) We show that complex packet synchronisation may be avoided in optical packetswitched networks. Feasibility of Optical Packet Switched WDM Networks without Packet Synchronisation Under Bursty Traffic Conditionsįjelde, Tina Hansen, Peter Bukhave Kloch, Allan
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