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The Experts below are selected from a list of 9405 Experts worldwide ranked by ideXlab platform

Semyon Dukach - One of the best experts on this subject based on the ideXlab platform.

P.f. Hansen - One of the best experts on this subject based on the ideXlab platform.

  • Service quality in TINA: quality of service trading in Open Network architecture
    IEEE Communications Magazine, 1998
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise-level QoS issues are discussed, from which QoS evolution paths are derived. Service-level QoS issues are identified, and they have been studied as a part of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. Soft guarantee of stream quality is proposed, which does not require strict resource reservation. The soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.

  • Service quality in TINA-quality of service trading in Open Network architecture
    Proceedings First International Enterprise Distributed Object Computing Workshop, 1997
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise level QoS issues are discussed, from which QoS evolution paths are derived. Service level QoS issues are identified and they have been studied as apart of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. A soft guarantee of stream quality is proposed, which does not require strict resource reservation. Soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.

T. Hamada - One of the best experts on this subject based on the ideXlab platform.

  • Service quality in TINA: quality of service trading in Open Network architecture
    IEEE Communications Magazine, 1998
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise-level QoS issues are discussed, from which QoS evolution paths are derived. Service-level QoS issues are identified, and they have been studied as a part of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. Soft guarantee of stream quality is proposed, which does not require strict resource reservation. The soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.

  • Service quality in TINA-quality of service trading in Open Network architecture
    Proceedings First International Enterprise Distributed Object Computing Workshop, 1997
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise level QoS issues are discussed, from which QoS evolution paths are derived. Service level QoS issues are identified and they have been studied as apart of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. A soft guarantee of stream quality is proposed, which does not require strict resource reservation. Soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.

S.k. Bose - One of the best experts on this subject based on the ideXlab platform.

  • Approximate analysis of Open Network of GE/GE/m/N queues with transfer blocking
    MASCOTS '99. Proceedings of the Seventh International Symposium on Modeling Analysis and Simulation of Computer and Telecommunication Systems, 1999
    Co-Authors: H. Tahilramani, D. Manjunath, S.k. Bose
    Abstract:

    In this paper we describe an approximate method for the analysis of an Open Network of finite capacity queues. Finite buffer capacities at the nodes introduce blocking of jobs that finish service at a node and find that the destination node is full at that time. When this happens, we assume that the blocked job is held at the server of the queue where it just completed service, blocking that server until the destination can accommodate it. This is called transfer blocking or blocking after service. We also assume that an external arrival that finds a full queue is lost. We consider an Open queueing Network with inter-arrival times of external arrivals and service times at each queue having a generalized exponential (GE) distribution. Queues can have finite buffers. To solve this system we augment the Network by adding a "holding node" for every stream that can be blocked to hold the blocked jobs during the period corresponding to them blocking the server. The mean time spent in the holding node will be equal to that spent while being blocked. Also, to account for the increased service time of a blocked job as seen by customers behind it in the queue, the service times of these customers need to be increased. We thus use an iterative procedure to converge on to the parameters of the GE distributions of the inter-arrival and service time distributions. Results from our analysis are compared against simulations and they compare very well.

L. Kristiansen - One of the best experts on this subject based on the ideXlab platform.

  • Service quality in TINA: quality of service trading in Open Network architecture
    IEEE Communications Magazine, 1998
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise-level QoS issues are discussed, from which QoS evolution paths are derived. Service-level QoS issues are identified, and they have been studied as a part of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. Soft guarantee of stream quality is proposed, which does not require strict resource reservation. The soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.

  • Service quality in TINA-quality of service trading in Open Network architecture
    Proceedings First International Enterprise Distributed Object Computing Workshop, 1997
    Co-Authors: T. Hamada, S. Hogg, J. Rajahalme, C. Licciardi, L. Kristiansen, P.f. Hansen
    Abstract:

    Enterprise level QoS issues are discussed, from which QoS evolution paths are derived. Service level QoS issues are identified and they have been studied as apart of service quality issues in TINA service architecture. TINA stream binding and its role in the TINA QoS framework are presented. A soft guarantee of stream quality is proposed, which does not require strict resource reservation. Soft guarantee concept combined with TINA stream binding architecture supports progressive evolution of service quality.