The Experts below are selected from a list of 1061679 Experts worldwide ranked by ideXlab platform

Song Guo - One of the best experts on this subject based on the ideXlab platform.

  • converged Network cloud service composition with end to end performance guarantee
    IEEE Transactions on Cloud Computing, 2018
    Co-Authors: Ju Huang, Qiang Dua, Song Guo
    Abstract:

    The crucial role of Networking in cloud computing calls for federated management of both computing and Networking resources for end-to-end service provisioning. Application of the Service-Oriented Architecture (SOA) in both cloud computing and Networking enables a convergence of Network and cloud service provisioning. One of the key challenges to high performance converged Network-cloud service provisioning lies in composition of Network and cloud services with end-to-end performance guarantee. In this paper, we propose a QoS-aware service composition approach to tackling this challenging issue. We first present a system Model for Network-cloud service composition and formulate the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware Network-cloud service composition. Performance of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed method achieves better performance in service composition than the best current MCOP approaches.

Katina Kralevska - One of the best experts on this subject based on the ideXlab platform.

  • expanded combinatorial designs as tool to Model Network slicing in 5g
    IEEE Access, 2019
    Co-Authors: Danilo Gligoroski, Katina Kralevska
    Abstract:

    The Network slice management function (NSMF) in 5G has a task to configure the Network slice instances and to combine Network slice subnet instances from the new-generation radio access Network and the core Network into an end-to-end Network slice instance. In this paper, we propose a mathematical Model for Network slicing based on combinatorial designs such as Latin squares and rectangles and their conjugated forms. We extend those designs with attributes that offer different levels of abstraction. for one set of attributes, we prove a stability Lemma for the necessary conditions to reach a stationary ergodic stage. We also introduce a definition of utilization ratio function and offer an algorithm for its maximization. Moreover, we provide algorithms that simulate the work of NSMF with randomized or optimized strategies, and we report the results of our implementation, experiments, and simulations for one set of attributes.

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

  • An optimization Model for quadratic flow thinning – a traffic protection mechanism for FSO Networks
    Optical Switching and Networking, 2019
    Co-Authors: Michał Pióro, Ilya Kalesnikau, Michael Poss
    Abstract:

    Flow thinning (FT) is an active traffic protection mechanism destined for communication Networks with variable capacity of links, for example wireless Networks. In FT, end-to-end traffic demands are equipped with dedicated logical tunnels (for example MPLS tunnels) whose maximal capacities are subject to thinning in order to follow the fluctuations of the currently available link capacities. It follows that for each demand the instantaneous traffic realized between its end nodes must accommodate to the current total capacity available on its dedicated tunnels. In the paper we develop an optimization Model for Network dimensioning for an applicative modification of FT, the so called Quadratic Flow Thinning (QFT), and present a solution algorithm based on the path generation method. We derive relevant pricing problems for basic variants of the QFT mechanism (and for its special case Affine Flow Thinning, AFT), and present a numerical study that illustrates efficiency of the optimization algorithm, as well as compares the Network cost for different variants of QFT and AFT.

  • An optimization Model for affine flow thinning — A traffic protection mechanism for FSO Networks
    2017
    Co-Authors: Michał Pióro, Ilya Kalesnikau, Michael Poss
    Abstract:

    Flow thinning (FT) is an active traffic protection mechanism destined for communication Networks with variable capacity of links, as for example wireless Networks. In FT, end-to-end traffic demands are equipped with dedicated logical tunnels (for example MPLS tunnels) whose maximal capacity is subject to thinning in order to follow the fluctuations of the currently available link capacity. It follows that for each demand the instantaneous traffic realized between its end nodes must accommodate to the current total capacity available on its dedicated tunnels. In the paper we develop an optimization Model for Network dimensioning for a potentially implementable variant of FT, the so called General Affine Flow Thinning (GAFT), and present a solution algorithm based on the path generation approach. We derive a relevant pricing problem and present a numerical study that illustrates efficiency of the optimization algorithm, as well as compares the Network cost for different variants of the flow thinning mechanism.

Ju Huang - One of the best experts on this subject based on the ideXlab platform.

  • converged Network cloud service composition with end to end performance guarantee
    IEEE Transactions on Cloud Computing, 2018
    Co-Authors: Ju Huang, Qiang Dua, Song Guo
    Abstract:

    The crucial role of Networking in cloud computing calls for federated management of both computing and Networking resources for end-to-end service provisioning. Application of the Service-Oriented Architecture (SOA) in both cloud computing and Networking enables a convergence of Network and cloud service provisioning. One of the key challenges to high performance converged Network-cloud service provisioning lies in composition of Network and cloud services with end-to-end performance guarantee. In this paper, we propose a QoS-aware service composition approach to tackling this challenging issue. We first present a system Model for Network-cloud service composition and formulate the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware Network-cloud service composition. Performance of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed method achieves better performance in service composition than the best current MCOP approaches.

Gunther Zapfel - One of the best experts on this subject based on the ideXlab platform.

  • an integrated multi depot hub location vehicle routing Model for Network planning of parcel service
    International Journal of Production Economics, 2004
    Co-Authors: Michael Wasner, Gunther Zapfel
    Abstract:

    Abstract The paper describes why optimal design of depot and hub transportation Networks for parcel service providers makes it necessary to develop a generalized hub location and vehicle routing Model (VRM). Analogous problems occur for postal, parcel and piece goods service providers. A generalized hub location and VRM is developed which encompasses the determination of the number, locations of hubs and depots and their assigned service areas as well as the routes between the demand points and consolidation points (depots, hubs). Because this task leads to a very complex transport design problem, a heuristic solution concept has to be developed. The applicability to a case study is demonstrated; the case of completely new system configuration for Austria is considered. Management must simultaneously decide the number, location, service areas and routes from demand points to depots and vice versa (the pickup and delivery structure) as well as the number and locations of hubs and the routes of depot–hub and hub–hub transports (the hub location or line haul structure), The developed management support decision Model leads for real cases to a tremendous number of some million binary variables as well as continuous variables and million of constraints.