Multi-Domain Orchestration for the Deployment and Management of Services on a Slice Enabled NFVI

Tusa, Francesco; Clayman, Stuart; Valocchi, Dario; Galis, Alex

doi:10.1109/nfv-sdn.2018.8725769

Cited by 18 publications

(11 citation statements)

References 5 publications

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“…Nevertheless, these mechanisms cannot be directly apply to fog computing, because: (i) fog is a partly distributed framework, in which clouds roles are rigidly defined, (ii) the role of the cloud in an application relies on many scenarios, hence, the formulation of a generic framework is not easy, (iii) the resource availabilities at each fog device are not static, and (iv) for a SOA based architecture, the dependency among micro services may be complex with a mixture of dependable services. These concepts need further investigation with regards to fog computing scenarios [172]. (3) Multi-domain orchestration: the fog platform is a continuum of utilities starting from the network edge to the cloud data centers, offering various components to be overseen by various entities.…”

Section: Computingmentioning

confidence: 99%

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

et al. 2019

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Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications.

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Section: Computingmentioning

confidence: 99%

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

et al. 2019

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“…In order to prove the effectiveness of the monitoring abstraction layer described in this paper, we have built a fully integrated Multi MANO platform, presented in [12], using Lattice. The platform has end-to-end slices which consist of the composition of lightweight DC slices and Network slices (out of the scope of this paper), where each DC slice runs an instance of the VLSP (Very Lightweight Network & Service Platform) VIM [4].…”

Section: Discussionmentioning

confidence: 99%

Dynamic Monitoring of Data Center Slices

Tusa

Clayman

Galis

2019

2019 IEEE Conference on Network Softwarization (NetSoft)

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Slicing is a move towards segmentation of resources and deployment of NFV for the purpose of enhanced services and applications on globally shared resources. The slicing approach in this paper considers Data Center slicing and the VIM on-demand model. We focus on the monitoring of Data Center slices, showing what is needed from the monitoring perspective and how the monitoring should be done. The proposed monitoring approach is validated on a platform that supports the on-demand creation of lightweight VIM instances.

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“…In their study, by leveraging cloud and SDN technologies, Sonkoly et al 13 designed and implemented a multi‐domain SFC orchestration architecture to achieve automated, dynamic SFC creation, and multi‐domain SFC orchestration. In their work, Tusa et al 14 designed a multi‐domain SFC hierarchical orchestration system to efficiently deploy the SFC across multiple distributed domains. In their work, Li et al 15 proposed a horizontal‐based multi‐domain SFC orchestration framework and designed two kinds of orchestrators, that is, multi‐domain orchestrator and intra‐domain orchestrator.…”

Section: The State Of the Art Of Multi‐domain Sfc Deploymentmentioning

confidence: 99%

The intelligent multi‐domain service function chain deployment: Architecture, challenges and solutions

Zhang

Wang

Dong

et al. 2020

Int J Communication

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Network function virtualization (NFV) technology achieves flexible service deployment by replacing the middleboxes with virtual network functions (VNFs). In NFV, a set of VNFs are chained in a given order, called service function chain (SFC), and accordingly, data flow is steered to traverse all the VNFs in order to offer a service. With a large number of network devices and end users being connected into Internet, there is a growing demand for largescale multi-domain networks to dynamically deploy the SFC across multiple network domains, in order to support efficient service provisioning. To this end, in this paper, we first investigate the state of the art of multi-domain SFC deployment, and then propose an intelligent multi-domain SFC deployment (IMSD) architecture by leveraging software-defined networking (SDN), NFV, and deep learning technologies. Furthermore, we discuss the potential challenges to realize the IMSD and provide some promising solutions. K E Y W O R D S deep learning, multi-domain networks, SDN, SFC deployment 1 | INTRODUCTION Recently, a great variety of middleboxes have been designed to efficiently provide various network services. 1 However, the service provisioning method is not flexible and leads to large capital expenditure (CAPEX) and operational expenditure (OPEX) since the middleboxes are heavily dependent on specific hardware devices. Fortunately, the emergence of network function virtualization (NFV) technology provides a promising solution to address the issues. NFV decouples network functions from hardware devices and implements them in software, called virtual network functions (VNFs). 2,3 Unlike the middleboxes, the VNFs can be flexibly deployed in the commercial-off-the-shelf devices. NFV

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Multi-Domain Orchestration for the Deployment and Management of Services on a Slice Enabled NFVI

Cited by 18 publications

References 5 publications

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

Dynamic Monitoring of Data Center Slices

The intelligent multi‐domain service function chain deployment: Architecture, challenges and solutions

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