Enabling Cloud Connectivity Using SDN and NFV Technologies

Derakhshan, Fariborz; Grob-Lipski, Heidrun; Roessler, Horst; Schefczik, Peter; Soellner, Michael

doi:10.1007/978-3-319-04277-0_19

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…These works cover the intra or inter domains [9][10] and can leverage classical path computation approaches such as RSVP, MPLS Traffic Engineering (MPLS-TE), or IETF Path Computation Element (IETF-PCE). Nevertheless, these approaches are not targeting the establishment of a trusted path satisfying some specific security constraints; even if some approaches mention this as a future direction.…”

Section: Related Workmentioning

confidence: 99%

SDN-based Trusted Path Control

Betgé-Brezetz¹,

Kamga²,

Joutei

et al. 2014

2014 International Conference and Workshop on the Network of the Future (NOF)

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Security of sensitive data in the network is a key issue in a world where such sensitive data can easily be transferred between different servers and locations (e.g., in networked clouds). In this context, there is a particular need to control the path followed by the data when they move across the cloud (e.g., to avoid crossing -even encrypted-un-trusted nodes or areas). In this paper we proposed therefore a new approach which aims to leverage the programmability offered by the SDN technology in order to enforce a trusted path for the transfer of sensitive data in the network. Given a policy related to the sensitive data (e.g., the data should not cross a given area), our approach allows sending this policy to an extended SDN controller (called Trusted Path Controller) which automatically enforces this policy in the SDN network. Two architectures have been investigated: the Out-of-Band architecture (the policy being sent to the Trusted Path Controller via a Web Service interface) and the In-Band architecture (the policy being sent to the Trusted Path Controller via a dedicated "signaling packet"). These two architectures have been implemented in a SDN controller. Experimentations and evaluations have also been performed on a test-bed of SDN switches which allow showing the feasibility of this approach as well as its performances.

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Section: Related Workmentioning

confidence: 99%

SDN-based Trusted Path Control

Betgé-Brezetz¹,

Kamga²,

Joutei

et al. 2014

2014 International Conference and Workshop on the Network of the Future (NOF)

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“…By replacing service elements with virtual network functions, New functions can be added or improved by updating a software image, rather than waiting for a vendor to develop and manufacture a dedicated appliance. Furthermore, while integrated with SDN, service providers can express and enforce application traffic management policies and application delivery constraints at the required level of granularity [89], [99], [100].…”

Section: A Cloud Computingmentioning

confidence: 99%

Software-Defined Network Function Virtualization: A Survey

Chen

2015

IEEE Access

400

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Software Defined Network is used to simplify network management by separating network control logic from its underlying hardware by enabling network administrators to exert more control over functionality of network and providing a unified global view of network. In this paper, our aim is to describe SDN related technologies, SDN architecture, openflow architecture, various simulators used to implement SDN concept and various SDN related researches that defined in which areas we can apply SDN concept.

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“…In a typical agnostic network scenario, the distance between applications and the network is prominent (Paolo Costa, 2013;Sharkh et al, 2013;Liu et al, 2015;Derakhshan et al, 2013). This distance makes fine-tune QoS infeasible for each kind of application; rather it makes the network handle applications equally.…”

Section: Introductionmentioning

confidence: 99%

A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

Moreira

Silva

Rosa

et al. 2020

IJGUC

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Rich-media applications deployed on cloud lead the use of the internet by people and organisations around the world. The advent of Software-Defined Networking (SDN), Networking Function Virtualisation (NFV), and Machine Learning (ML) techniques brings new possibilities to address carrier environment challenges, especially QoS. The literature does not show a smart and flexible solution that brings scalability with holistic management of network, compute, and application resources taking into account different approaches to enhance QoS. This paper presents the Orchestrator that manages agnostic network, compute, and applications resources hosted in the cloud. Through ML algorithms, our solution enhances QoS towards network resilience, bandwidth allocation based on real-time traffic, and end-to-end QoS mechanism to the event-driven scenario. The Orchestrator operation spans across different domains providing applications, virtual functions, and cloud resources management elastically. Our experimental evaluation in a large-scale testbed shows Orchestrator's capability to provide a smart jitter decrease using AI techniques.

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Enabling Cloud Connectivity Using SDN and NFV Technologies

Cited by 5 publications

References 8 publications

SDN-based Trusted Path Control

SDN-based Trusted Path Control

Software-Defined Network Function Virtualization: A Survey

A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

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