Steel-Belted Radius Carrier Overview
Steel-Belted Radius Carrier (SBRC) is an authentication, authorization, and accounting (AAA) solution that provides data services for wireline, wireless, and converged carriers. SBRC interfaces with a wide variety of network access equipment, and authenticates remote and wireless LAN (WLAN) users against numerous back-end databases, allowing you to consolidate the administration of all your remote and WLAN users.
SBR Carrier has been qualified and is supported on Oracle Solaris 22.214.171.124.0 and 126.96.36.199.0 (SPARC) and Red Hat Enterprise Linux 7.3, 7.4, 7.5, 7.6, and 7.7 on Intel (Xeon) platforms.
SBR Carrier 8.6.0 does not support RHEL 6.x, 7.0, 7.1, and 7.2.
The SBR standalone and cluster configurations are supported on the 64-bit version of Linux operating system.
SBR Carrier supports virtualization on Linux, VMware hypervisor, Kernel-based Virtual Machine (KVM) hypervisor, and logical domains on Solaris. SBR Carrier has been tested with VMware ESXi 5.1, 5.5, 6.0, and 6.5 versions and KVM hypervisor on a RHEL 7.3 machine.
SSR cluster in virtualized environments is not officially supported. Juniper Networks may still provide support for known issues and for those where you can demonstrate the issue exists on the native OS.
The following are the basic operations of SBRC:
Receives RADIUS requests (UDP packets) from multiple network access devices, or Radius clients.
Routes RADIUS packets using the proxy functionality.
Performs a wide array of internal processing.
Authenticates users against its own or an extended array of supported back-end databases.
Accounts to files or one or more back-end databases.
Maintains the current session state either in memory in a standalone configuration, or in the Session State Register (powered by Oracle MySQL NDB) in a clustered configuration.
The performance of SBRC is a function of the hardware resources on which the software executes and the wide array of internal processing required to handle the work. Each additional level of processing done has an impact on the overall resources of a system. As the complexity of processing increases, the effective performance on a given amount of CPU and I/O decreases.