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Managing Distributed Feature Interactions in Enterprise SIP Application Servers

机译:管理企业SIP应用程序服务器中的分布式功能交互

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Several trends in SIP application server deployments in large scale telephony environments exacerbate the classic problem of feature interaction: use of distributed feature servers, mixing of legacy and green-field feature servers, and the co-existence of multiple third-party feature implementations provisioned in the same environment. Next-generation SIP application servers will include an application router (AR) to provide more application control over feature sequencing. As we discuss here, the AR can be augmented to incorporate feature interaction detection and resolution logic. We describe a novel design for run-time feature interaction detection and resolution in an environment of distributed feature servers using a SIP application server with application routing function, such as that defined in JSR 289. The approach is based on the algorithm of the Kolberg-Magill (K-M) method for feature interaction detection. Here we extend the notation of the algorithm to cover advanced call control services, enable the algorithm to work in topologies involving B2BUAs (Back-to-Back User Agents) and SBCs (Session Border Controllers), and test the approach with a substantial feature set of 32 features found in large enterprise solutions.
机译:大规模电话环境中SIP应用程序服务器部署的几个趋势激发了特征交互的经典问题:使用分布式特征服务器,传统和绿色字段特征服务器的混合以及配置的多个第三方功能实现的共存相同的环境。下一代SIP应用程序服务器将包括应用程序路由器(AR),以提供更多应用程序控件对功能排序。正如我们在此讨论的那样,可以增强AR以合并特征交互检测和分辨率逻辑。我们描述了使用具有应用程序路由功能的分布式特征服务器的环境中的运行时功能交互检测和分辨率的新颖设计,例如在JSR 289中定义的SIP应用程序服务器。该方法基于Kolberg的算法 - 特征交互检测的Magill(KM)方法。在这里,我们扩展了算法的符号来涵盖高级呼叫控制服务,使算法能够在涉及B2BUA(背对背用户代理)和SBCS(会话边界控制器)的拓扑中工作,并使用大量功能集测试方法在大型企业解决方案中发现的32个功能。

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