The Experts below are selected from a list of 11100 Experts worldwide ranked by ideXlab platform

Luis Velasco - One of the best experts on this subject based on the ideXlab platform.

  • CASTOR: A Monitoring and Data Analytics Architecture to Support Autonomic Domain and Slice Networking
    2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
    Co-Authors: Lluís Gifre, M Ruiz, Luis Velasco
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of Monitoring and Data Analytics (MDA) helps to maintain the required network performance, while reducing total cost of ownership. In this paper, we present CASTOR, an architecture to enable autonomic domain and slice networking. MDA agents use data analytics to make local decisions close to network devices, whereas MDA controllers collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools.

  • An architecture to support autonomic slice networking
    Journal of Lightwave Technology, 2018
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multidomain multilayer multiprotocol label switching (MPLS)-over-optical network. In particular, the use case consists of the following observe-analyze-act loops: 1) proactive network slice rerouting after bit error rate (BER) degradation detection in a lightpath supporting a virtual link (vlink); 2) reactive core network restoration after optical link failure; and 3) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

  • An Architecture to Support Autonomic Slice Networking
    Journal of Lightwave Technology, 2017
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multi-domain multilayer MPLS-over-optical network. In particular, the use case consists of the following Observe-Analyze-Act loops: i) proactive network slice rerouting after BER degradation detection in a lightpath supporting a virtual link (vlink); ii) reactive core network restoration after optical link failure; and iii) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

Filippo Cugini - One of the best experts on this subject based on the ideXlab platform.

  • An architecture to support autonomic slice networking
    Journal of Lightwave Technology, 2018
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multidomain multilayer multiprotocol label switching (MPLS)-over-optical network. In particular, the use case consists of the following observe-analyze-act loops: 1) proactive network slice rerouting after bit error rate (BER) degradation detection in a lightpath supporting a virtual link (vlink); 2) reactive core network restoration after optical link failure; and 3) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

  • An Architecture to Support Autonomic Slice Networking
    Journal of Lightwave Technology, 2017
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multi-domain multilayer MPLS-over-optical network. In particular, the use case consists of the following Observe-Analyze-Act loops: i) proactive network slice rerouting after BER degradation detection in a lightpath supporting a virtual link (vlink); ii) reactive core network restoration after optical link failure; and iii) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

Lluís Gifre - One of the best experts on this subject based on the ideXlab platform.

  • CASTOR: A Monitoring and Data Analytics Architecture to Support Autonomic Domain and Slice Networking
    2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
    Co-Authors: Lluís Gifre, M Ruiz, Luis Velasco
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of Monitoring and Data Analytics (MDA) helps to maintain the required network performance, while reducing total cost of ownership. In this paper, we present CASTOR, an architecture to enable autonomic domain and slice networking. MDA agents use data analytics to make local decisions close to network devices, whereas MDA controllers collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools.

  • An architecture to support autonomic slice networking
    Journal of Lightwave Technology, 2018
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multidomain multilayer multiprotocol label switching (MPLS)-over-optical network. In particular, the use case consists of the following observe-analyze-act loops: 1) proactive network slice rerouting after bit error rate (BER) degradation detection in a lightpath supporting a virtual link (vlink); 2) reactive core network restoration after optical link failure; and 3) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

  • An Architecture to Support Autonomic Slice Networking
    Journal of Lightwave Technology, 2017
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multi-domain multilayer MPLS-over-optical network. In particular, the use case consists of the following Observe-Analyze-Act loops: i) proactive network slice rerouting after BER degradation detection in a lightpath supporting a virtual link (vlink); ii) reactive core network restoration after optical link failure; and iii) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

M Ruiz - One of the best experts on this subject based on the ideXlab platform.

  • CASTOR: A Monitoring and Data Analytics Architecture to Support Autonomic Domain and Slice Networking
    2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
    Co-Authors: Lluís Gifre, M Ruiz, Luis Velasco
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of Monitoring and Data Analytics (MDA) helps to maintain the required network performance, while reducing total cost of ownership. In this paper, we present CASTOR, an architecture to enable autonomic domain and slice networking. MDA agents use data analytics to make local decisions close to network devices, whereas MDA controllers collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools.

  • An architecture to support autonomic slice networking
    Journal of Lightwave Technology, 2018
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multidomain multilayer multiprotocol label switching (MPLS)-over-optical network. In particular, the use case consists of the following observe-analyze-act loops: 1) proactive network slice rerouting after bit error rate (BER) degradation detection in a lightpath supporting a virtual link (vlink); 2) reactive core network restoration after optical link failure; and 3) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

  • An Architecture to Support Autonomic Slice Networking
    Journal of Lightwave Technology, 2017
    Co-Authors: Luis Velasco, Alba P. Vela, Lluís Gifre, Jose Luis Izquierdo-zaragoza, Andrea Sgambelluri, M Ruiz, Francesco Paolucci, Filippo Cugini
    Abstract:

    Network slices combine Resource Virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multi-domain multilayer MPLS-over-optical network. In particular, the use case consists of the following Observe-Analyze-Act loops: i) proactive network slice rerouting after BER degradation detection in a lightpath supporting a virtual link (vlink); ii) reactive core network restoration after optical link failure; and iii) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy).

Ning Liu - One of the best experts on this subject based on the ideXlab platform.

  • multi granularity Resource Virtualization and sharing strategies in cloud manufacturing
    Journal of Network and Computer Applications, 2014
    Co-Authors: Ning Liu, Weiming Shen
    Abstract:

    Cloud Manufacturing is a new and promising manufacturing paradigm. Resource Virtualization is critical for Cloud Manufacturing. It encapsulates physical Resources into cloud services and determines the robustness of the cloud platform. This paper proposes novel multi-granularity Resource Virtualization and sharing strategies for bridging the gap between complex manufacturing tasks and underlying Resources. The proposed approach considers three factors, including workflow, activity, and Resource that significantly influence stepwise decompositions of a complex manufacturing task. Resource aggregation functions are constructed to classify Resources over different granularities. Resource clustering algorithms are presented for mapping physical Resources to virtualized Resources. Cloud service specifications are designed to describe virtualized Resources and are implemented through a prototype. A case study is illustrated to validate the proposed approach. HighlightsMulti-granularity Resource Virtualization and sharing strategies are proposed.Functions are constructed to classify Resources over different granularities.Algorithms are presented for mapping physical Resources to virtualized Resources.The gap between tasks and Resources is bridged by the proposed methods.

  • a Resource capability Virtualization method for cloud manufacturing systems
    Systems Man and Cybernetics, 2011
    Co-Authors: Ning Liu, Qian Wang
    Abstract:

    Resources should be virtualized before they are deployed to cloud manufacturing systems. In this paper, a method is proposed for Resource Virtualization by transforming manufacturing Resources into cloud services through two phases. Manufacturing Resource features are comprehensively analyzed. A virtual specification is established for describing heterogeneous manufacturing Resources in an isomorphic manner. By extracting characteristics of Resources, an algorithm is proposed for Resources partitioning according to manufacturing capabilities. Resources are encapsulated as cloud services and deployed to the cloud service platform, where manufacturing Resources can be shared and accessed by heterogeneous applications in cloud manufacturing systems.