Multi-domain service orchestration with X-MANO

Baggio, Giovanni; Francescon, Antonio; Fedrizzi, Riccardo

doi:10.1109/netsoft.2017.8004259

Cited by 7 publications

(10 citation statements)

References 2 publications

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“…impose diverse requirements on the underlying infrastructure and their orchestration policies. Finally, if we add the organizational aspects, requiring the cooperation among different entities to provide most services, we have that multi-site [4], and even multi-MANO [13], solutions are essential for the provision of any network service intended to support end-user requirements.…”

Section: Etsi Network Functions Virtualizationmentioning

confidence: 99%

A Secure Link-Layer Connectivity Platform for Multi-Site NFV Services

et al. 2021

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Network Functions Virtualization (NFV) is a key technology for network automation and has been instrumental to materialize the disruptive view of 5G and beyond mobile networks. In particular, 5G embraces NFV to support the automated and agile provision of telecommunication and vertical services as a composition of versatile virtualized components, referred to as Virtual Network Functions (VNFs). It provides a high degree of flexibility in placing these components on distributed NFV infrastructures (e.g., at the network edge, close to end users). Still, this flexibility creates new challenges in terms of VNF connectivity. To address these challenges, we introduce a novel secure link-layer connectivity platform, L2S. Our solution can automatically be deployed and configured as a regular multi-site NFV service, providing the abstraction of a layer-2 switch that offers link-layer connectivity to VNFs deployed on remote NFV sites. Inter-site communications are effectively protected using existing security solutions and protocols, such as IP security (IPsec). We have developed a functional prototype of L2S using open-source software technologies. Our evaluation results indicate that this prototype can perform IP tunneling and cryptographic operations at Gb/s data rates. Finally, we have validated L2S using a multi-site NFV ecosystem at the Telefonica Open Network Innovation Centre (5TONIC), using our solution to support a multicast-based IP television service.

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Section: Etsi Network Functions Virtualizationmentioning

confidence: 99%

A Secure Link-Layer Connectivity Platform for Multi-Site NFV Services

et al. 2021

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“…Each DSO is supposed to have a complete view of its domain, including the internal topology, amount and type of resources, and QoS guarantees from the different resources. In case of a centralised approach, the MO can adopt the role of a Federation Manager as proposed in the frameworks of [50], [51].…”

Section: Proposed Multi-domain Orchestration Frameworkmentioning

confidence: 99%

“…The Inter-domain link resource capacity follows a uniform distribution U(400,600). The cost per unit bandwidth resource for the inter-domain links follows a uniform distribution U (10,50), while the intra-domain unit bandwidth resource cost of substrate links and unit computing resource cost of physical nodes follows a uniform distribution U (1,50). For the online case, the arrival rates follow a Poisson distribution with arrival rates varied between 2 and 14, depending on the scenario.…”

Section: Simulation Environment and Settingsmentioning

confidence: 99%

A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems

Kibalya

Serrat

Gorricho

et al. 2020

Neural Comput & Applic

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The transition towards full network virtualization will see services for smart ecosystems including smart metering, healthcare and transportation among others, being deployed as Service Function Chains (SFCs) comprised of an ordered set of virtual network functions. However, since such services are usually deployed in remote cloud networks, the SFCs may transcend multiple domains belonging to different Infrastructure Providers (InPs), possibly with differing policies regarding billing and Quality-of-service (QoS) guarantees. Therefore, efficiently allocating the exhaustible network resources to the different SFCs while meeting the stringent requirements of the services such as delay and QoS among others, remains a complex challenge, especially under limited information disclosure by the InPs. In this work, we formulate the SFC deployment problem across multiple domains focusing on delay constraints, and propose a framework for SFC orchestration which adheres to the privacy requirements of the InPs. Then, we propose a Reinforcement Learning (RL) basedalgorithm for partitioning the SFC request across the different InPs while considering service reliability across the participating InPs. Such RL based algorithms have the intelligence to infer undisclosed InP information from historical data obtained from past experiences. Simulation results, considering both online and offline scenarios, reveal that the proposed algorithm results in

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“…The 5GEx project [30]- [33] leverages NFV orchestration (NFVO) into a multi-domain service management and orchestration (MdO) function, introducing new interfaces for inter-operator communication and resource abstraction and discovery. Similarly, the multidomain service orchestration (X-MANO) [34], [35] enables NFV service deployment across different administrative and technological domains by introducing the federation manager (FM) role.…”

Section: Comparison To Other Approachesmentioning

confidence: 99%

5G Service Value Chain and Network Slicing Framework Using Ecosystem Modeling, Agile Delivery, and User-Story Automation

Alhuseini

Olama

2019

IEEE Access

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The 5G technology allows telecommunication operators to provide services beyond data broadband for consumers, employing tailored use-cases for enterprise and vertical markets. As a result, there is an increasing need for a collaborative service development through a decentralized value-chain, along with new business models and shorter time-to-market. In this paper, a novel, use-case driven framework for a modular 5G service design and delivery is proposed. The framework implements agile and as-a-service principles to provide 5G use-case customers access not only to service usage, but also to design and operation. The framework integrates with the 3 rd Generation Partnership Project (3GPP) specifications by mapping network-slicing procedures to the designed ecosystem lifecycle operations. The framework allows for the any-technology deployment, utilizing the available foundations for domain-specific automation. A structured collaboration between a 5G operator and a use-case user allows for the customization and improvement of the targeted use-case, where 5G network assets are updated with customer's vertical components through programmable user-stories. Laboratory testing of a 5G network-slicing for a private-telephony and merchandise-tracking service is performed to validate the effectiveness of the proposed approach for real-world applications.

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Multi-domain service orchestration with X-MANO

Cited by 7 publications

References 2 publications

A Secure Link-Layer Connectivity Platform for Multi-Site NFV Services

A Secure Link-Layer Connectivity Platform for Multi-Site NFV Services

A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems

5G Service Value Chain and Network Slicing Framework Using Ecosystem Modeling, Agile Delivery, and User-Story Automation

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