5 research outputs found

    eTOM-Conformant IMS Assurance Management

    Get PDF

    A Conditional Fuzzy Clustering with Adaptive Method

    No full text
    International audienc

    The IT Infrastructure’s Industrialization and Mastering

    No full text

    A Conditional Fuzzy Clustering with Adaptive Method

    No full text
    The Chiu’s method which generates a Takagi-Sugeno Fuzzy Inference System (FIS) is a method of fuzzy rules extraction. The rules output is a linear function of inputs. Those rules are not explicit for the expert. This paper proposes a new method to generate Mamdani FIS, where the rules output is fuzzy. The method proceeds in two steps. The first step consists in using the subtractive clustering principle to estimate the number of clusters and the initial locations of cluster centers, each obtained cluster corresponds to a Mamdani fuzzy rule. The second step optimizes the fuzzy model parameters by using a genetic algorithm. This method has been implemented and tested in the framework of a traffic network management application. This method has been extended to generation of Mamdani fuzzy rules when fuzzy classes can be predefined by the expert

    ETOM PROCESS TO MANITOR AND CORELAT IPTV QOS IN IMS

    No full text
    ABSTRACT As the network convergence with services for both static and mobile networks has been the principal object of the next generation networks, the recent research focus is converging in the direction of standardizing common infrastructure based on all-IP networks. IMS is a recent initiative. Moreover, designing and deploying a standard QoS provisioning mechanisms in large networks is not a trivial matter. IPTV services are considered between the important IMS flow, the actual QoS management mechanisms proposed by 3GPP allow providing the IMS network components control and efficient service delivery, however the 3GPP approach focuses entirely on the step of providing the service, but there is no mechanism for monitoring Qos dynamically. This paper discusses the issues, design and analysis related to on demand dynamic QoS control in these next generation networks and fuss both Quality of Service (QoS) information signaling and IPTV traffic engineering options that may serve as key components of IPTV service specific QoS policies, which are designed to accommodate with customer requirements and resource availability by using the eTOM process to monitor the Qos values and to propose optimal solution to provide the quality of delivered content. The eTOM process interact with implemented marking entities which execute an algorithm to marking IPTV packets, this cooperation must improve the quality of service of the IPTV traffic
    corecore