NETQOS policy management architecture for flexible QOS provisioning in Future Internet

This paper is focussed on the NETQOS architecture for automated QoS policy provisioning, which can be used in Future Internet scenarios by the different actors (i.e. network operators, service providers, and users) for flexible QoS configuration over combinations of mobile, fixed, sensor and broadcast networks. The NETQOS policy management architecture opens the possibility to specify QoS policies on a "business" level using ontology descriptions and policy management interfaces, which are specific to the actors. The business level policy specifications are translated by the NETQOS system into intermediate and operational QoS policies for automated QoS configuration at the managed heterogeneous network and transport entities. NETQOS allows QoS policy specification and dependency analysis considering Service Level Agreements (SLAs) between the actors, as well as automated policy provisioning and adaptation. The interaction of the NETQOS components is based on a common po licy repository. The particular focus of the paper is aimed to discuss ontology and actor oriented QoS policy specification and configuration for heterogeneous networks, as well as NETQOS QoS policy management interfaces at business level and automated translation of business QoS policies to intermediate and operational policy level

Design and Implementation of Flexible User Protocol Interface

This paper is focused on an efficient protocol implementation based on flexible user protocol interface (UPI) configurable for different service options and protocol processing architectures. The XTPL implementation discussed in this paper is developed based on the BERKOM eXpress Transfer Protocol (XTP) Lite version for HP 9000 / 7x Series using HP-UX 9.0 operating system. This implementation supports the dynamical configuration of user protocol interfaces intended to provide different objectives: - optimization of the user data copy operations (use of the "single copy archtecture") - selectable QoS options for application layer framing, reliability and checksumming. Performance analyses are included to show the flexible use of user protocol interfaces, in particular the reliable single and dual copy interface, dependent on the application traffic of the connections. Keywords: User Protocol Interface, Application Programming Interface (API), Application Layer Framing, Single Copy...

Spatio-Temporal QoS Pattern Analysis in large scale Internet environment

Abstract. For enhanced Quality of Service (QoS) provision of multimedia applications in Internet environment, there is a need of data mining tools supporting the automated analysis of QoS behaviour and dependencies for the purpose of modelling and forecasting, QoS planning and anomaly detection. This paper presents a data mining technology for spatio-temporal QoS pattern analysis including automated extraction and description, similarity matching and dependency maintenance of patterns in telecommunication networks. The technology is based on selection and definition of patterns from measured time series data sequences of QoS parameters using an appropriate pattern description language, pattern matching algorithms with different options for pattern similarity analysis and data mining interface supporting the network engineer in QoS pattern analysis considering temporal and spatial constraints. The building of an appropriate archive of detected similar patterns in given spatio-temporal context, i.e. pattern analysis data base, is directly concerned with for solving of specific QoS data mining task. The described technology is developed in the framework of INTERMON project for integrated QoS analysis in a large scale inter-domain environment based on interaction with monitoring, topology discovery and traffic analysis tools

NARGES: Prediction Model for Informed Routing in a Communications Network

There is a dependency between packet-loss and the delay and jitter time-series derived from a telecommunication link. Multimedia applications such as Voice over IP (VoIP) are sensitive to loss and packet recovery is not a merely efficient solution with the increasing number of Internet users. Predicting packet-loss from network dynamics of past transmissions is crucial to inform the next generation of routers in making smart decisions. This paper proposes a hybrid data mining model for routing management in a communications network, called NARGES. The proposed model is designed and implemented for predicting packet-loss based on the forecasted delays and jitters. The model consists of two parts: a historical symbolic time-series approximation module, called HDAX, and a Multilayer Perceptron (MLP). It is validated with heterogeneous quality of service (QoS) datasets, namely delay, jitter and packet-loss time-series. The results show improved precision and quality of prediction compared to autoregressive moving average, ARMA