rt of their virtual private network and/or by exposing control of voice/video services from the public telecom network. Consumer services include the traditional telephone services over copper, fiber, or radio and in the last decade enhanced with broadband IP data that enables many IP applications including those from a large mobile device application ecosystem, IP TV distribution, and monitoring systems at home and in vehicles. The diverse IP applications enable monetization of network services through multiple business models not limited to network customer subscription. Chapter 14 describes a wide variety of services, platform components that enable multiple ser- vices, and how these are supported in a Network Cloud. 2.5.11 NETWORK DATA AND MEASUREMENTS In traditional IP networks built with network elements and dedicated to particular services, data and measurements are performed in a relatively static configuration by collecting data from network elements and/or inserting probes at the points necessary to support the requirements of service. Transforming a Modern Telecom Network-From All-IP to Network Cloud For example, one might collect data on real-time media sessions, number of sessions established per unit time, attempts to establish sessions when all capacity is being used, packet loss, jitter, and latency through a session border gateway. By continuously collecting this data, it can be used to measure and improve the QoS and predict when additional transport or switching capacity is needed. Analysis of data in real-time is not critical since the actions one could take based on the data collected involved administrative, planning, and engineering tasks that occur over days or months. Moving to a Network Cloud using SDN and NFV creates both challenges to achieving the same level of data collection and measurements as would exist in a traditional IP network and new oppor- tunities to benefit from real-time analytics performed on measurements. The challenges stem from the implementation of a service on flex