Supper Intelligent Matrix Network Traffic Capture Visibility System

Supper Intelligent Matrix Network Packet Broker for Traffic Capture Visibility System

Background Introduction

With the acceleration of carrier broadband construction and the rapid development of 3G, 4G, and 5G networks, and with the popularity and development of big data and cloud computing technologies, data traffic is growing, and the bandwidth requirements for backbone networks and core networks are increasing. Since 2013, the major operators have begun to gradually upgrade the backbone network. The core backbone network transmission link media starts to be expanded from 10GPOS and 40GPOS links to 100G Ethernet links. It will inevitably lead to the continuous updating of big data collection and analysis technology. In the face of 100GE link environment with high bandwidth capacity, how to effectively meet the requirements of various national security, network security monitoring, operator intelligent pipeline DPI data collection and analysis will become a hot spot in the field of data acquisition and analysis.

Chengdu Shuwei Communication is following the development direction of the Internet and develop the MATRIX-TCA-CG Traffic Acquisition(Traffic Capture) Visibility System, and dedicated to the traffic collection and visual analysis application requirements on 1GE, 10GE, 10G/40G POS, 40GE and 100GE links. The MATRIX-TCA-CG integrates free-steering output functions such as network flow collection/acquisition, aggregation, filtering, forwarding/distribution, and load balancing and provides an efficient solution for the flow analysis.

Matrix-TCA-CG is a network data visualization control device for high density and large flow of 10G/40G/100G.
Matrix-TCA-CG is specially designed for the data collection of 10GE 40GE and 100GE links distributed intensively in operators mobile Internet export, IDC export, provincial network and backbone.
Based on ATCA standard architecture, MATRIX-TCA-CG has high carrier-level reliability and strong expansibility which can smoothly configure the functional board CARDS to cope with port demand scenarios of various specifications and sizes.

Carrier–class System Architecture
Advanced specification PICMG 3.0 R2.0
RoHs,Designed for CE,FCC,NEBS Level 3
Standard Dual Dual Star 100G speed backplane

Rich Interface Types
Supported high density 10G, 40G, 100G link interface
Supported all port line speed work without packet loss

Rich Network Traffic Processing Mechanism
Supported 1->N, M-> N, M-> N channels traffic replication & aggregation
Supported packet filtering matching, including SIP, DIP, SP, DP, protocol number, arbitrary position feature code identification, input interface and other elements of flexible combination filtering conditions
Supported DPI deep message analysis and processing
Supported GTP, GRE and other tunnel protocol IP identification & distribution
Supported multiple rule combinations
Supported the number of rules above 100,000 level
Supported filtering rule black and white list

Load Balance
Supported dynamic load balancing or custom load balancing in/across single board
Supported the hash load balancing calculation of multiple combination conditions
Supported load balancing arbitrary binding of output port group members

Flexible Port Collocation
Supported all ports as input, output port by user-defined
Supported for members of the same port group not restricted by port types
Supported any binding of input and output port groups in single board/cross board

3G/4G/5G Network Signal Acquisition Solutions of Operators

To deploy high-performance, high-capacity MATRIX-TCA-CG network data visualization control system, can complete the operator 3G/4G/5G network arbitrary link signaling or user data collection. Then, through the perspective of the size, structure and relationship of data traffic through the system, the invisible data signals are transformed into visible entities, and users can copy, converge and stream the required target data to the back-end signal acquisition and decoding system for in-depth processing according to the feedback information of the system.