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DataPlane Broker: Open WAN control for multi-site service orchestration

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Forthcoming
Publication date9/08/2019
Host publication2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
Place of PublicationDallas, USA
PublisherIEEE
Number of pages6
Original languageEnglish

Abstract

NFV-MANO has become the de-facto standard for network service orchestration
in future programmable network infrastructures. Relevant standards define
an architecture and a data model that allows an orchestration entity to
deploy, dynamically configure and monitor virtual and physical network
functions across virtualized datacenters. Although the model offers
extensive details for network function management and host-level network
configuration, end-to-end connectivity management beyond the datacenter
remains limited. The responsibility for cross-site connectivity is
delegated to a control abstraction, the WAN Infrastructure Manager (WIM),
which is partially defined in relevant standards. The reference
implementation of the NFV-MANO standards, Open Source MANO (OSM), has
recently released a reference WIM driver model, but no open-source WIM
implementation is currently available, thus restricting the ability of
researchers to experiment with multi-site service deployments. In this
paper, we present the DataPlane Broker (DPB), the first open-source WIM
implementation for software-defined networks. Using an extensive data
model, DPB seamlessly translates NFV-MANO requirements into SDN
configuration, supporting point-to-point and multipoint connectivity with
strong bandwidth guarantees. DPB is integrated with OSM FIVE via a WIM
plugin. Initial experiments highlight that path computation can scale to
large network topologies and a large number of services, with negligible
computational overheads, while DPB increases by less than 10% the overall
deployment delay of an OSM service.

Bibliographic note

©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.