Demo: A deep learning based SLA management for NFV-based services

Jaafar Bendriss; Imen Grida Ben Yahia; Roberto Riggio; Djamal Zeghlache

doi:10.1109/ICIN.2018.8401592

Demo: A deep learning based SLA management for NFV-based services

Jaafar Bendriss
, Imen Grida Ben Yahia
, Roberto Riggio
, Djamal Zeghlache

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Network function Virtualization (NFV) is expected to accelerate service deployment and enable service agility for Telco operators. NFV builds on virtualization technology and off-the-shelf general purpose hardware, shifting previously dedicated Telco appliances towards the cloud ecosystem. This paradigm shift brings new concepts such as dynamic service chaining that necessitates to rethinking the Network Management approach. In this paper we present CogSLA, a data-driven solution for SLA enforcement in an NFV deployment. CogSLA uses Deep Feedforward Neural Network or Multi-Layer perceptron (MLP) for achieving proactive identification of SLA violations. The key contribution of this work is to proactively change the network state, anticipating and avoiding foreseeable SLA violation.

langue originale	Anglais
titre	21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Nombre de pages	3
ISBN (Electronique)	9781538634585
Les DOIs	https://doi.org/10.1109/ICIN.2018.8401592
état	Publié - 29 juin 2018
Evénement	21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018 - Paris, France Durée: 19 févr. 2018 → 22 févr. 2018

Série de publications

Nom	21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018

Une conférence

Une conférence	21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018
Pays/Territoire	France
La ville	Paris
période	19/02/18 → 22/02/18

Accès au document

10.1109/ICIN.2018.8401592

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Contient cette citation

Bendriss, J., Ben Yahia, I. G., Riggio, R., & Zeghlache, D. (2018). Demo: A deep learning based SLA management for NFV-based services. Dans 21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018 (p. 1-3). (21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIN.2018.8401592

@inproceedings{9c92247c3fd8405e8bbf6faf01ef10e2,

title = "Demo: A deep learning based SLA management for NFV-based services",

abstract = "Network function Virtualization (NFV) is expected to accelerate service deployment and enable service agility for Telco operators. NFV builds on virtualization technology and off-the-shelf general purpose hardware, shifting previously dedicated Telco appliances towards the cloud ecosystem. This paradigm shift brings new concepts such as dynamic service chaining that necessitates to rethinking the Network Management approach. In this paper we present CogSLA, a data-driven solution for SLA enforcement in an NFV deployment. CogSLA uses Deep Feedforward Neural Network or Multi-Layer perceptron (MLP) for achieving proactive identification of SLA violations. The key contribution of this work is to proactively change the network state, anticipating and avoiding foreseeable SLA violation.",

keywords = "ANN, NFV, Network Function Virtualization",

author = "Jaafar Bendriss and \{Ben Yahia\}, \{Imen Grida\} and Roberto Riggio and Djamal Zeghlache",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018 ; Conference date: 19-02-2018 Through 22-02-2018",

year = "2018",

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language = "English",

series = "21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--3",

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}

Bendriss, J, Ben Yahia, IG, Riggio, R & Zeghlache, D 2018, Demo: A deep learning based SLA management for NFV-based services. Dans 21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018. 21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018, Institute of Electrical and Electronics Engineers Inc., p. 1-3, 21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018, Paris, France, 19/02/18. https://doi.org/10.1109/ICIN.2018.8401592

Demo: A deep learning based SLA management for NFV-based services. / Bendriss, Jaafar; Ben Yahia, Imen Grida; Riggio, Roberto et al.
21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3 (21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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AU - Riggio, Roberto

AU - Zeghlache, Djamal

PY - 2018/6/29

Y1 - 2018/6/29

N2 - Network function Virtualization (NFV) is expected to accelerate service deployment and enable service agility for Telco operators. NFV builds on virtualization technology and off-the-shelf general purpose hardware, shifting previously dedicated Telco appliances towards the cloud ecosystem. This paradigm shift brings new concepts such as dynamic service chaining that necessitates to rethinking the Network Management approach. In this paper we present CogSLA, a data-driven solution for SLA enforcement in an NFV deployment. CogSLA uses Deep Feedforward Neural Network or Multi-Layer perceptron (MLP) for achieving proactive identification of SLA violations. The key contribution of this work is to proactively change the network state, anticipating and avoiding foreseeable SLA violation.

AB - Network function Virtualization (NFV) is expected to accelerate service deployment and enable service agility for Telco operators. NFV builds on virtualization technology and off-the-shelf general purpose hardware, shifting previously dedicated Telco appliances towards the cloud ecosystem. This paradigm shift brings new concepts such as dynamic service chaining that necessitates to rethinking the Network Management approach. In this paper we present CogSLA, a data-driven solution for SLA enforcement in an NFV deployment. CogSLA uses Deep Feedforward Neural Network or Multi-Layer perceptron (MLP) for achieving proactive identification of SLA violations. The key contribution of this work is to proactively change the network state, anticipating and avoiding foreseeable SLA violation.

KW - ANN

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KW - Network Function Virtualization

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PB - Institute of Electrical and Electronics Engineers Inc.

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Bendriss J, Ben Yahia IG, Riggio R, Zeghlache D. Demo: A deep learning based SLA management for NFV-based services. Dans 21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3. (21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018). doi: 10.1109/ICIN.2018.8401592

Demo: A deep learning based SLA management for NFV-based services

Résumé

Série de publications

Une conférence

Accès au document

Autres fichiers et liens

Empreinte digitale

Contient cette citation