Scanning engines that run on the WedgeOS SubSonic Content Recognition ("SCR") can scan traffic at rates faster then two times the traditional methods, handle increased bandwidth, and reduce latency to provide the network with better overall performance and accuracy.
Today’s busy network junctions have hundreds or thousands of simultaneous network traffic sessions carried over a variety of network protocols. As the exchange of large archived content is common, the inspection becomes highly inefficient due to individual packet inspection.
SubSonic Content Recognition Benefits
SCR overcomes the performance barrier in large networks created by many concurrent users who send and retrieve content using a variety of communication protocols. By applying an optimized, linear complex fingerprint algorithm instead of the polymorphic scanning on repeated contents the SCR accelerates content inspection exponentially by retrieving rather than reapplying resource expensive content inspection algorithms.
With the rapid growth of network bandwidth usage, the importance of high performance Deep Content Inspection is becoming paramount in the effective management of large, complex networks. SCR effectively and efficiently processes data payloads without compromising network speeds through the following;
Increased Performance Gains:- 100 percent improvement for normal web pages
- 150 percent improvement for archived files
- 2,000 percent improvement for executable files
- Optimal usage of memory and CPU cycles
- Minimizes the risk of system resource exhaustion
