Access Control is one of the most critical functions of a secured network. By applying a Network Search Engine (NSE) to handle access control tasks is key to any ACL solution.
Renesas NSE enables the following features in Data Center network gateway appliances running 400Gb/s real-time network traffic.
- Packet filtering by ACL (Access Control List) for network security.
- QoS (Quality of Service) by setting priorities for specific packets.
Renesas' ACL demo system utilizes the Xilinx SDNet Development Environment to control the NSE device to realize 400 Gb/s line rate speed.
Demo GUI features
- User controllable “Ingress Packet” generator. (up to 400Gb/s)
- Packet filtering rules can be defined and updated in Live Traffic.
- “Egress Packet” data distribution display in real-time chart.
Two types of demos to help you understand the ACL solution.
Packet Filtering + Bandwidth Control
|ACL Demonstration Package||Description|
|GUI software||Java jar file format|
|FPGA design data||MCS file format|
Faced with the challenges of increasing numbers of IoT terminals and the migration to cloud computing, service providers are focused on widespread adoption of 400 Gbps class equipment.
IoT era has arrived. With the exploding number of “things” connected to the internet and the realtime feedback requirements of these devices, demands of much higher speed network system are getting bigger year after year.
- Exact Match Search Solution White Paper
- Control IP White Paper (Packet Header Search Solution (100G))
- Control IP White Paper (Packet Header Search Solution (200-400G))
- Renesas Electronics Introduces NX6375AA Series of Semiconductor Laser Diodes Achieving the High-Capacity/Speed Optical Communications Rate of 100 Gbps for Data Centers of the IoT Era
- Renesas Electronics Delivers Reference Design that Reduces Development Time for Search Offload Engine in Industry’s Fastest Class 400 Gbps Network Devices
- Renesas Electronics Streamlines Memory Component Count in Data Center: Enables Quantity Reduction of Memory Devices to 1/15th and 60-Percent Reduction in Memory Power Consumption