The Experts below are selected from a list of 144 Experts worldwide ranked by ideXlab platform

Carmen Mas Machuca - One of the best experts on this subject based on the ideXlab platform.

  • Rational Agent-Based Decision Algorithm for Strategic Converged Network Migration Planning
    IEEE OSA Journal of Optical Communications and Networking, 2019
    Co-Authors: Sai Kireet Patri, Elena Grigoreva, Wolfgang Kellerer, Carmen Mas Machuca
    Abstract:

    To keep up with constantly growing user demands for services with higher quality and bandwidth requirements, telecommunication operators are forced to upgrade their Networks. This upgrade, or migration of the Network to a new technology, is a complex strategic Network planning problem that involves technoeconomic evaluations over multiple periods of time. The state-of-the-art approaches consider migrations to a concrete architecture and do not take uncertainties, such as user churn, into account. This results in migration cost underestimations and profitability overestimations. In this paper, we propose a generic migration algorithm derived from a search-based rational agent decision process that can deal with uncertainties and provides the migration path using a maximized utility function. The algorithm maximizes the migration project profitability, measured as the accumulated net present value. This flexible and generic methodology has been evaluated on the example of migration from existing copper Networks to the future-proof passive optical Network architectures. Our proposed flexible migration algorithm is validated over pure residential and Converged scenarios in a fully reproducible case study. The results affirm that migration flexibility is key to profit maximization.

  • survivable hybrid passive optical Converged Network architectures based on reflective monitoring
    Journal of Lightwave Technology, 2016
    Co-Authors: Elaine Wong, Carmen Mas Machuca, Lena Wosinska
    Abstract:

    Hybrid passive optical Converged access Networks (HPCANs) are recognized as a cost-efficient and high-bandwidth solution to address the exponentially increasing demands of both fixed access and mobile users. HPCANs are expected to support high client count with different bandwidth requirements, long Network spans, and high traffic. In that respect, survivability of such Networks against fiber/equipment failures is a critical deployment feature. Consequently, rapid fault detection and subsequent restoration of services to users are gaining importance. Four survivable architectures that are compliant with the aforementioned HPCAN specifications are presented in this work. These architectures do not need to rely on upstream transmissions for loss-of-signal (LOS) activation, thereby making them suitable for use with sleep/doze mode transceivers for power saving. In Networks that implement sleep/doze upstream transceivers, the transition into sleep/doze mode would result in no upstream signal transmission. If using conventional LOS activation rather than our proposed architectures to indicate equipment/fiber failure in the Network, the absence of upstream transmission would result in erroneous triggering of false LOS alarm and subsequently unnecessary protection switching. We compare the four survivable HPCAN architectures against an unprotected HPCAN using illustrative examples of three different population densities, namely covering dense urban, urban, and rural areas, and three different deployment scenarios, namely brownfield, duct reuse, and greenfield. We perform detailed evaluations of connection availability, failure impact factor, yearly Network energy consumption, and total Network cost. Results from this study provide guidance for the choice of the best survivable HPCAN architecture to serve each of the three considered area densities under each of the three deployment scenarios.

Ampalavanapillai Nirmalathas - One of the best experts on this subject based on the ideXlab platform.

  • qos performance of next generation optical wireless Converged Network and pon cycle length
    International Topical Meeting on Microwave Photonics, 2012
    Co-Authors: Chathurika Ranaweera, Christina Lim, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    Optical-wireless convergence is becoming one of the evolutionary technologies to provide quality-of-service (QoS) guaranteed ubiquitous access to end users. In this paper, we analyze the effect of GEPON cycle-length on the QoS performance of the GEPON-LTE Converged Network, when different resource handling mechanisms are used. The simulation results indicate that the influence of different cycle-lengths on the QoS performance varies depending on different traffic types and the resource handling mechanism used. We show that, this dependency can be reduced by introducing a unified resource handling mechanism which also improves the overall QoS performance of the Converged Network.

  • Next generation optical-wireless Converged Network architectures
    IEEE Network, 2012
    Co-Authors: Chathurika Ranaweera, Christina Lim, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    This article provides a comprehensive analysis on implementing the next-generation optical-wireless integration architectures. The different approaches to implementing a complete fixed-mobile Converged Network that ensures desired quality of service for various applications are explored. This discussion is specifically focused on LTE- 10GEPON integration Networks where passive optical Networks are used as the backhaul to LTE. Special attention is given to address the issue of providing proper means to enable intercommunication between neighboring base stations, which is one of the crucial considerations in next-generation wireless Networks. We propose potential 10GEPON-LTE Converged Network architectures and comparatively analyze the benefits gained from each of the integration architectures by elaborating on the operational and control structures. Our performance analysis provides insight into QoS-rich next-generation optical-wireless Converged Networks.

  • Quality of service assurance in EPON-WiMAX Converged Network
    2011 International Topical Meeting on Microwave Photonics jointly held with the 2011 Asia-Pacific Microwave Photonics Conference, 2011
    Co-Authors: Chathurika Ranaweera, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    We analyze the quality of service (QoS) performance of different traffic classes in optical-wireless Converged Networks when different resource handling mechanisms are used. We show that in order to achieve the optimum QoS performance in the EPON-WiMAX Converged Network for all traffic classes, a proper combination of a dynamic bandwidth allocation algorithm, an intra ONU-BS (integrated optical Network unit and WiMAX base station) scheduling algorithm, and a QoS mapping mechanism need to be implemented. We propose such a combination that includes novel intra ONU-BS scheduling algorithm which improves the QoS performance of all traffic classes of an EPON-WiMAX Converged Network.

Elaine Wong - One of the best experts on this subject based on the ideXlab platform.

  • survivable hybrid passive optical Converged Network architectures based on reflective monitoring
    Journal of Lightwave Technology, 2016
    Co-Authors: Elaine Wong, Carmen Mas Machuca, Lena Wosinska
    Abstract:

    Hybrid passive optical Converged access Networks (HPCANs) are recognized as a cost-efficient and high-bandwidth solution to address the exponentially increasing demands of both fixed access and mobile users. HPCANs are expected to support high client count with different bandwidth requirements, long Network spans, and high traffic. In that respect, survivability of such Networks against fiber/equipment failures is a critical deployment feature. Consequently, rapid fault detection and subsequent restoration of services to users are gaining importance. Four survivable architectures that are compliant with the aforementioned HPCAN specifications are presented in this work. These architectures do not need to rely on upstream transmissions for loss-of-signal (LOS) activation, thereby making them suitable for use with sleep/doze mode transceivers for power saving. In Networks that implement sleep/doze upstream transceivers, the transition into sleep/doze mode would result in no upstream signal transmission. If using conventional LOS activation rather than our proposed architectures to indicate equipment/fiber failure in the Network, the absence of upstream transmission would result in erroneous triggering of false LOS alarm and subsequently unnecessary protection switching. We compare the four survivable HPCAN architectures against an unprotected HPCAN using illustrative examples of three different population densities, namely covering dense urban, urban, and rural areas, and three different deployment scenarios, namely brownfield, duct reuse, and greenfield. We perform detailed evaluations of connection availability, failure impact factor, yearly Network energy consumption, and total Network cost. Results from this study provide guidance for the choice of the best survivable HPCAN architecture to serve each of the three considered area densities under each of the three deployment scenarios.

  • qos performance of next generation optical wireless Converged Network and pon cycle length
    International Topical Meeting on Microwave Photonics, 2012
    Co-Authors: Chathurika Ranaweera, Christina Lim, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    Optical-wireless convergence is becoming one of the evolutionary technologies to provide quality-of-service (QoS) guaranteed ubiquitous access to end users. In this paper, we analyze the effect of GEPON cycle-length on the QoS performance of the GEPON-LTE Converged Network, when different resource handling mechanisms are used. The simulation results indicate that the influence of different cycle-lengths on the QoS performance varies depending on different traffic types and the resource handling mechanism used. We show that, this dependency can be reduced by introducing a unified resource handling mechanism which also improves the overall QoS performance of the Converged Network.

  • Next generation optical-wireless Converged Network architectures
    IEEE Network, 2012
    Co-Authors: Chathurika Ranaweera, Christina Lim, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    This article provides a comprehensive analysis on implementing the next-generation optical-wireless integration architectures. The different approaches to implementing a complete fixed-mobile Converged Network that ensures desired quality of service for various applications are explored. This discussion is specifically focused on LTE- 10GEPON integration Networks where passive optical Networks are used as the backhaul to LTE. Special attention is given to address the issue of providing proper means to enable intercommunication between neighboring base stations, which is one of the crucial considerations in next-generation wireless Networks. We propose potential 10GEPON-LTE Converged Network architectures and comparatively analyze the benefits gained from each of the integration architectures by elaborating on the operational and control structures. Our performance analysis provides insight into QoS-rich next-generation optical-wireless Converged Networks.

  • Quality of service assurance in EPON-WiMAX Converged Network
    2011 International Topical Meeting on Microwave Photonics jointly held with the 2011 Asia-Pacific Microwave Photonics Conference, 2011
    Co-Authors: Chathurika Ranaweera, Elaine Wong, Ampalavanapillai Nirmalathas
    Abstract:

    We analyze the quality of service (QoS) performance of different traffic classes in optical-wireless Converged Networks when different resource handling mechanisms are used. We show that in order to achieve the optimum QoS performance in the EPON-WiMAX Converged Network for all traffic classes, a proper combination of a dynamic bandwidth allocation algorithm, an intra ONU-BS (integrated optical Network unit and WiMAX base station) scheduling algorithm, and a QoS mapping mechanism need to be implemented. We propose such a combination that includes novel intra ONU-BS scheduling algorithm which improves the QoS performance of all traffic classes of an EPON-WiMAX Converged Network.

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.

Qiang Dua - 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.

  • modeling and delay analysis for Converged Network cloud service provisioning systems
    2013 International Conference on Computing Networking and Communications (ICNC), 2013
    Co-Authors: Qiang Dua
    Abstract:

    The crucial role of Networking in Cloud computing requires a holistic vision of both Networking and computing resources that leads to a convergence of Network and Cloud service provisioning. Therefore, Networking and Cloud computing systems need to be modeled and analyzed as a Converged service provisioning system in order to obtain thorough understanding about service performance. This paper proposes a new approach to modeling service capabilities of Converged Network-Cloud service provisioning systems and develops the analysis techniques for evaluating delay performance of Converged Network-Cloud services. The modeling and analysis techniques developed in this paper are general and agnostic to the implementations of Network and Cloud infrastructure; thus are applicable to heterogeneous Networking and Cloud computing systems for Converged service provisioning.