Partners Shenick Network Systems diversifEye Overview

diversifEye Per Flow Testing

Shenick diversify Per Flow Testing

Video:  Introducing diversifEye and Per flow testing ,

Brochures:  diversifEye , diversifEye 5500 , diversifEye Thresholding

Testing with diversifEye:
IPTVVoDVoIPSecurity Attack MitigationDPI , DLP, WAN Optimization, TWAMP,  DOCSIS®  3.0 , TLS/SSL

Why test on a 'Per flow' basis?

Next Generation Networks (NGN) and Applications are constantly pushing network boundaries in terms of Quality of Service (QoS) and Quality of Experience (QoE). Delivering QoS at the highest level correlates to the individual end user application QoE performance. ‘Per flow’ test and measurement is the only mechanism to guarantee performance at these levels, on this granularity.

Delivering real world proof of concept, demonstration and testing of NGN environments requires stateful traffic emulation, with the most realistic traffic flows representing actual deployments of several thousand individual clients utilizing many application types, over common services such as DHCP / PPPoE / VLAN Tagging is necessary.

DHCP / PPPoE / VLAN Tagging sessions are critical enablers for many services, not forgetting the scalable demand on current access network segments of several thousand subscribers. The services delivered in these sessions (Voice, Video or Data) are interactive by nature with functionality that is critical to defining QoE performance.

As individuals we are different, therefore there is a high probability that no two subscribers are likely to use the same service in the same manner or less likely to use the same interactive features in a similar manner concurrently. Next Generation Networking has advanced test requirements, the blanket test or the one shoe fits all, is no longer a feasible measurement of performance.

The most effective method of defining the performance limitations of Next Generation Networks is to build, test and measure on a Per Client ‘Per flow’ basis. Emulate stateful clients with multiple unique individual applications such as voice, video and data, emulate and measure performance of real world user scenarios with meaningful end user activity.

diversifEye benefits users by enabling emulation, control and performance measurements on a Per Flow basis. diversifEye differs from other macro traffic generators as it was developed from the ground up as a Reality Based Stateful Traffic Emulator. diversifEye was designed so that each application flow is treated as a unique individual element.

 

 

 

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