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CASE STUDY

High-Throughput Packet Processing Hardware (DPI Engine)

Delivered a custom hardware-accelerated processing layer capable of handling extreme network throughput at scale.

Situation

Software-only processing was insufficient for handling large-scale network traffic. Upstream processing required specialized hardware to perform packet reconstruction, sessionization, and protocol detection efficiently.

Solution

Designed and delivered a hardware-accelerated processing platform using FPGA and processor-based architecture for packet reassembly, sessionization, protocol detection, advanced filtering, and downstream integration.

OUTCOMES

50% lower
upstream CPU load
70% offloaded
software processing paths
Strengthened foundation
for downstream analytic pipelines
3 functions
reassembly sessionization detection
100+ Gbps
sustained packet throughput

Challenges

Throughput

  • Software processing limits
  • Extreme traffic volumes

Hardware

  • Acceleration gaps
  • Upstream processing bottlenecks

Protocol

  • Complex packet reconstruction
  • Sessionization demands

Solutions

01

FPGA Architecture

Custom FPGA and processor-based architecture.

  • Designed a custom hardware architecture for accelerated processing
  • Combined FPGA and processor capabilities for specialized workloads
  • Created a scalable foundation for extreme-throughput operations
02

Packet Reassembly

High-performance packet reassembly and sessionization.

  • Accelerated reconstruction of traffic flows at scale
  • Reduced load on software-only systems
03

Protocol Detection

Protocol detection across multiple network layers.

  • Enabled protocol identification across layered traffic patterns
  • Improved parsing and classification of diverse communications
  • Strengthened upstream intelligence for later analytics
04

Advanced Filtering

Advanced filtering and search capabilities.

  • Added high-speed filtering and search functionality in hardware
  • Improved selectivity before downstream processing stages
  • Increased overall efficiency of the processing pipeline
05

Downstream Integration

Integration with downstream processing systems.

  • Connected the hardware layer with downstream analytics systems
  • Improved interoperability between acceleration and software layers
  • Enabled broader platform-scale performance gains
06

Supply Chain Security

Secure supply chain and manufacturing controls.

  • Applied secure controls to hardware sourcing and manufacturing
  • Reduced operational risk in the delivery lifecycle
  • Strengthened trust in the deployed platform