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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781538634585
DOIs	https://doi.org/10.1109/ICIN.2018.8401592
Publication status	Published - 29 Jun 2018
Event	21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018 - Paris, France Duration: 19 Feb 2018 → 22 Feb 2018

Publication series

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

Conference

Conference	21st International Conference on Innovation in Clouds, Internet and Networks, ICIN 2018
Country/Territory	France
City	Paris
Period	19/02/18 → 22/02/18

Keywords

ANN
NFV
Network Function Virtualization

Access to Document

10.1109/ICIN.2018.8401592

Cite this

Bendriss, J., Ben Yahia, I. G., Riggio, R., & Zeghlache, D. (2018). Demo: A deep learning based SLA management for NFV-based services. In 21st Conference on Innovation in Clouds, Internet and Networks, ICIN 2018 (pp. 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

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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",

month = jun,

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doi = "10.1109/ICIN.2018.8401592",

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. in 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., pp. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

KW - NFV

KW - Network Function Virtualization

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M3 - Conference contribution

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Bendriss J, Ben Yahia IG, Riggio R, Zeghlache D. Demo: A deep learning based SLA management for NFV-based services. In 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

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