IP Multimedia Subsystem

About: IP Multimedia Subsystem is a research topic. Over the lifetime, 4398 publications have been published within this topic receiving 43698 citations.

Scheduling of Bandwidth-Constrained Multimedia Traffic

Abstract: Multimedia applications describe unique requirements that must be met by computer network and operating system components. In particular, the time-dependencies of multimedia data require mechanisms to ensure timely and predictable delivery of data from their sources to destinations. For single medium applications which have relatively constant bandwidth utilization, connections from source to destination can be tailored to moderate ranges of data rates. On the other hand, due to the large variation in multimedia object sizes and concurrency in object presentation, multimedia applications can require a correspondingly large variation in required bandwidth over the life of a connection. Data of these types may not arrive in time to meet the intended playout schedule when the capacity of the channel is exceeded. In this paper we present an approach to remedying this situation by effectively smoothing the bandwidth requirement over time via a scheduling mechanism.

Monitoring selected IP voice calls through activity of a watchdog program at an IP-addressing mapping check point

Abstract: Surveillance of IP voice calls over a public communication IP link is achieved by a WatchDog program, associated with an IP Address Mapping Check Point translating IP phone numbers into IP addresses, that are connected to a head end hub connected in turn to a Hybrid Fiber Coax (HFC) link of IP phone users or to a backbone network carrying IP voice packets.

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima

Abstract: Virtualization offers cost efficient usage of digital resources. Thus, dedicated hardware solutions are transferred into virtualized services running in the cloud. Such softwarization of hardware is for example the IP multimedia subsystems, which telecommunication system providers currently move to the cloud. The dedicated hardware solutions provided a reliability of 99.999% in the past, but the virtualized services come with higher complexity due to the fragile computation stack and cannot provide such high requirements. Zero touch administration of such fragile systems can help to detect automatically anomalies, find root causes and execute remediation actions. This work focusses on the detection of degraded state anomalies. We propose an unsupervised detection approach using the Online Arima forecasting algorithm using real-time monitoring data. This approach is evaluated on a testbed running an open source implementation of the IP multimedia subsystem (Clearwater) executed on a replicated Openstack cloud environment. Results show the applicability of the Online Arima based anomaly detection with high detection rates and low number of false alarms.

Systems, methods and computer program products for providing access to web services via device authentication in an IMS network

Abstract: An IP Multimedia Subsystem (IMS) network provides access to Web services. A HyperText Transfer Protocol (HTTP) message addressed to a Web Service Provider along with the IMS identifier from a device is received in the IMS network. The IMS network validates registration of the device. The IMS identifier and the HTTP message are communicated to the Web Service Provider. A Web service is conveyed from the Web Service Provider to the device.

Traffic optimization for ip connection over an ip connectivity access network and for an application allowing a choice of ip connection endpoint

Abstract: In an embodiment, there is provided a method for optimization of IP traffic between a User Equipment having access to an IP network via an IP Connectivity Access Network, and an IP connection endpoint in said IP network, for an application allowing a choice in said IP connection endpoint, said method comprising at least one step based on a selection of an IP connection endpoint according to end-to-end IP traffic optimization criteria.