Radisys Engage Media Server
Overview of Radisys Engage Media Server
Engage Media Server is a media processing powerhouse for a wide range of revenue-generating services. Within a single platform, Radisys enables voice and video processing for real-time communication applications, audio and video mixing, transcoding, speech and video analytics, and other advanced media processing capabilities. It enables exciting solution offerings in UC and collaboration, audio and video conferencing, conversational AI-based speech-enabled applications, augmented reality, computer vision, multi-access edge media applications, VoLTE, ViLTE, and VoNR, transcoding, and more.
Prerequisites
The Engage Media Server portfolio supports rich conferencing capabilities through a variety of open programming interfaces, including Media Server Markup Language (MSML). Through these interfaces, conferencing application developers can program and dynamically control Engage Media Server’s extensive real-time collaboration capabilities, voice and video quality optimizations, and switched and continuous presence modes for HD video conferencing. For mobile conferencing services, Engage Media Server media server supports IR.92 audio and IR.94 video compliant conferencing capabilities. Support for wide variety of HD audio and video codecs allows service providers to offer ubiquitous multimedia conferencing experiences with automatic transcoding across TDM, VoIP, VoLTE, VoNR, VoWiFi, and WebRTC endpoints.
| Virtual Platforms | Minimum |
|---|---|
| Classification (Filtered Port 80) | NA |
| Delivery | NA |
| Application | Media server |
| Compute* (vCores) | 4 |
| Memory (RAM) | 4 GB |
| Storage (System minimum) | 30 GB |
| Storage (Content maximum) | |
| Storage Performance | |
| Host OS | CentOS 7.x |
| Network | 1G / 10G |
Usage
Repository
The Radisys Engage Media Server is available in the open-ness-edgeapps repository. To obtain it, just clone the repo.
$ git clone https://github.com/open-ness/edgeapps
Then, into applications/radisys folder there is helm chart folder for installing it.
Install the Chart
From the Controller Node, go to the helm folder of the repository, and type:
$ helm install vmrf <radisys>
Test Output
NAME: vmrf
LAST DEPLOYED: Thu Oct 29 23:44:38 2020
NAMESPACE: default
STATUS: pending-install
Uninstall Chart
helm uninstall vmrf
Test Output
# helm uninstall vmrf
release "vmrf" uninstalled
Where to Purchase
Optimized for Intel® Smart Edge
Install
Radisys Engage Media Server
Retrieve Container Images and Helm Charts
Containers: Contact Radisys Sales Support
Helm Charts: https://github.com/open-ness/edgeapps/tree/master/applications/radisys
Pre load docker images on nodes
docker image load -i <image provided by Radisys Sales Support. Contact Radisys Sales Support>
Deploy service
helm install vmrf <radisys>
Resources
Computer Vision for IoT, Security and Authentication Use Cases
Evolve Two-factor Authentication with In-Network Biometric Authentication