Telephone Network

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Michael Small - One of the best experts on this subject based on the ideXlab platform.

  • analysis of Telephone Network traffic based on a complex user Network
    Physica A-statistical Mechanics and Its Applications, 2006
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    Abstract The traffic in Telephone Networks is analyzed in this paper. Unlike the classical traffic analysis where call blockings are due to the limited channel capacity, we consider here a more realistic cause for call blockings which is due to the way in which users are Networked in a real-life human society. Furthermore, two kinds of user Network, namely, the fully connected user Network and the scale-free Network, are employed to model the way in which Telephone users are connected. We show that the blocking probability is generally higher in the case of the scale-free user Network, and that the carried traffic intensity is practically limited not only by the Network capacity but also by the property of the user Network.

  • scale free user Network approach to Telephone Network traffic analysis
    Physical Review E, 2005
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    The effect of the user Network on the Telephone Network traffic is studied in this paper. Unlike classical traffic analysis, where users are assumed to be connected uniformly, our proposed method employs a scale-free Network to model the behavior of Telephone users. Each user has a fixed set of acquaintances with whom the user may communicate, and the number of acquaintances follows a power-law distribution. We show that compared to conventional analysis based upon a fully connected user Network, the Network traffic is significantly different when the user Network assumes a scale-free property. Specifically, Network blocking (call failure) is generally more severe in the case of a scale-free user Network. It is also shown that the carried traffic is practically limited by the scale-free property of the user Network, rather than by the Network capacity.

Yongxiang Xia - One of the best experts on this subject based on the ideXlab platform.

  • analysis of Telephone Network traffic based on a complex user Network
    Physica A-statistical Mechanics and Its Applications, 2006
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    Abstract The traffic in Telephone Networks is analyzed in this paper. Unlike the classical traffic analysis where call blockings are due to the limited channel capacity, we consider here a more realistic cause for call blockings which is due to the way in which users are Networked in a real-life human society. Furthermore, two kinds of user Network, namely, the fully connected user Network and the scale-free Network, are employed to model the way in which Telephone users are connected. We show that the blocking probability is generally higher in the case of the scale-free user Network, and that the carried traffic intensity is practically limited not only by the Network capacity but also by the property of the user Network.

  • scale free user Network approach to Telephone Network traffic analysis
    Physical Review E, 2005
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    The effect of the user Network on the Telephone Network traffic is studied in this paper. Unlike classical traffic analysis, where users are assumed to be connected uniformly, our proposed method employs a scale-free Network to model the behavior of Telephone users. Each user has a fixed set of acquaintances with whom the user may communicate, and the number of acquaintances follows a power-law distribution. We show that compared to conventional analysis based upon a fully connected user Network, the Network traffic is significantly different when the user Network assumes a scale-free property. Specifically, Network blocking (call failure) is generally more severe in the case of a scale-free user Network. It is also shown that the carried traffic is practically limited by the scale-free property of the user Network, rather than by the Network capacity.

Elisabeth Didelet - One of the best experts on this subject based on the ideXlab platform.

  • linear and nonlinear combinations of connectionist models for local diagnosis in real time Telephone Network traffic management
    International Conference on Artificial Neural Networks, 1997
    Co-Authors: Younes Bennani, Fabrice Bossaert, Elisabeth Didelet
    Abstract:

    In Telephone Network traffic management, real-time disturbance detection and identification is a complex problem because of the large variability in both temporal and spatial characteristics even from the same disturbance. This paper presents the design and evaluation of a diagnosis system based on a combination of the discriminative powers of multiple classifiers. Several different Neural Networks were initially trained to perform the same task. Combinations of these different pattern classifiers are examined and comparedto the performance of a single Network. The underlying idea is that the combination of multiple classifiers promises to improve the performance and fault tolerance. Combinations are considered as linear and non-linear weighted rules. We demonstrate our stztdy on a model long distance Telephone Network using an event-driven Network simulator (SuperMac).

D Smyk - One of the best experts on this subject based on the ideXlab platform.

  • an architecture for residential internet telephony service
    IEEE Network, 1999
    Co-Authors: Christian Huitema, J Cameron, Petros Mouchtaris, D Smyk
    Abstract:

    A new architecture that can be used for offering an Internet telephony service to residential customers is introduced. The architecture addresses scalability and availability requirements of mass-market deployment of carrier-grade services and supports interconnection with SS7 for Internet telephony calls to the public switched Telephone Network. The architecture is based on the concept of a gateway decomposition that separates the media transformation function of today's H.323 gateways from the gateway control function of the gateways and centralizes the intelligence in a call agent. The media gateway control protocol is introduced as the protocol between the call agent that assumes the gateway control function and the gateway that provides just the media transformation function. Interworking between the architecture and the public switched Telephone Network, the session initiation protocol, and H.323 are also discussed.

  • an architecture for residential internet telephony service
    IEEE Internet Computing, 1999
    Co-Authors: Christian Huitema, J Cameron, Petros Mouchtaris, D Smyk
    Abstract:

    Network gateways are used to set up calls between the public switched Telephone Network (PSTN) and the Internet, but existing gateways support a relatively small number of lines. To meet the scalability and availability requirements of mass-market deployment of carrier-grade telephony services, the authors propose an architecture based on the decomposition of Internet gateway functionality. The media transformation function of today's H.323 gateways is separated from the gateway control function, and intelligence is centralized in a call agent. The Media Gateway Control Protocol is introduced; MGCP is an Internet draft currently under discussion by the IETF for standardizing the interface between a call agent and the media transformation gateway.

Francis C M Lau - One of the best experts on this subject based on the ideXlab platform.

  • analysis of Telephone Network traffic based on a complex user Network
    Physica A-statistical Mechanics and Its Applications, 2006
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    Abstract The traffic in Telephone Networks is analyzed in this paper. Unlike the classical traffic analysis where call blockings are due to the limited channel capacity, we consider here a more realistic cause for call blockings which is due to the way in which users are Networked in a real-life human society. Furthermore, two kinds of user Network, namely, the fully connected user Network and the scale-free Network, are employed to model the way in which Telephone users are connected. We show that the blocking probability is generally higher in the case of the scale-free user Network, and that the carried traffic intensity is practically limited not only by the Network capacity but also by the property of the user Network.

  • scale free user Network approach to Telephone Network traffic analysis
    Physical Review E, 2005
    Co-Authors: Yongxiang Xia, Chi K Tse, Wai M Tam, Francis C M Lau, Michael Small
    Abstract:

    The effect of the user Network on the Telephone Network traffic is studied in this paper. Unlike classical traffic analysis, where users are assumed to be connected uniformly, our proposed method employs a scale-free Network to model the behavior of Telephone users. Each user has a fixed set of acquaintances with whom the user may communicate, and the number of acquaintances follows a power-law distribution. We show that compared to conventional analysis based upon a fully connected user Network, the Network traffic is significantly different when the user Network assumes a scale-free property. Specifically, Network blocking (call failure) is generally more severe in the case of a scale-free user Network. It is also shown that the carried traffic is practically limited by the scale-free property of the user Network, rather than by the Network capacity.