Full PON Virtulisation Supporting Multi-Tenancy Beyond 5G

Afraz, Nima; Slyne, Frank; Ruffini, Marco

doi:10.1364/networks.2019.net2d.2

Cited by 2 publications

(1 citation statement)

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“…This enables, for example, running one DBA for one set of users (e.g., residential broadband) and another DBA for a low-latency application (e.g., cloud-RAN transport through the cooperative DBA mechanism standardized in [13]). This paper extends the work presented in [14] at the 2019 OSA Advanced Photonics Congress and is structured as follows. Section 2 describes the overall virtual DBA (vDBA) principle and architecture, discussing building blocks and main requirements.…”

Section: Introductionmentioning

confidence: 95%

Virtual DBA: virtualizing passive optical networks to enable multi-service operation in true multi-tenant environments

Ruffini

Ahmad

Zeb

et al. 2020

J. Opt. Commun. Netw.

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This paper presents the concept of virtual DBA, a method we propose to virtualize upstream capacity scheduling in PONs, which provides multiple independent virtual network operators with the ability to precisely schedule their upstream traffic allocation. After a brief introduction on the evolution of access network sharing, we present our virtual DBA architecture, detailing its main components. We then provide a summary of the work done in this area both from theoretical and practical implementation perspectives. In this paper, we propose a novel stateless algorithm for merging multiple independent virtual bandwidth maps based on priority classes and analyze its performance in terms of efficiency of capacity allocation and latency. Through our results we discuss the existence of a trade-off between traffic load and grant size distribution vs. efficiency and latency. We find that, differently from residential single-tenant application, when PONs are used for low latency and multi-tenant applications, the system has better overall performance if grants are allocated in small size. In addition, our analysis shows that for high priority, strict latency services, our proposed merging algorithm presents delay performance that is independent of the traffic distribution considered.

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Section: Introductionmentioning

confidence: 95%