Abstract

Metropolitan networks are undergoing a major technological breakthrough leveraging the capabilities of software-defined networking (SDN) and network function virtualization (NFV). NFV permits the deployment of virtualized network functions (VNFs) on commodity hardware appliances which can be combined with SDN flexibility and programmability of the network infrastructure. SDN/NFV-enabled networks require decision-making in two time scales: short-term online resource allocation and mid-to-long term offline planning. In this paper, we first tackle the dimensioning of SDN/NFV-enabled metropolitan networks paying special attention to the role that latency plays in the capacity planning. We focus on a specific use-case: the metropolitan network that covers the Murcia - Alicante Spanish regions. Then, we propose a latency-aware multilayer service-chain allocation (LA-ML-SCA) algorithm to explore a range of maximum latency requirements and their impact on the resources for dimensioning the metropolitan network. We observe that design costs increase for low latency requirements as more data center facilities need to be spread to get closer to the network edge, reducing the economies of scale on the IT infrastructure. Subsequently, we review our recent joint computation of multi-site VNF placement and multilayer resource allocation in the deployment of a network service in a metro network. Specifically, a set of subroutines contained in LA-ML-SCA are experimentally validated in a network optimization-as-a-service architecture that assists an Open-Source MANO instance, virtual infrastructure managers and WAN controllers in a metro network test-bed.

Highlights

  • T HE infrastructure in telecom operators’ central offices (COs) has notably evolved in recent years with advancements in software-defined networking (SDN) [2] and network function virtualization (NFV) [3]

  • The experimental setup to implement this SDN-NFV wide-area networks (WANs) architecture proposal is performed in two testbed islands, the two Net2plan instances (OSS and Optimization as a Service (OaaS)) are located in a laboratory in Cartagena (Spain) whilst the virtual infrastructure managers (VIMs), the ETSI Open-Source MANO (OSM), WAN Infrastructure Manager(s) (WIM), SDN controllers and the multi-layer topology are placed at the High Performance Networks, University of Bristol (UK)

  • This paper covered two aspects of SDN/NFV-enabled metropolitan networks: short-term resource allocation actions and mid-to-long term planning and dimensioning decisions. We began with the latter aspect with the capacity planning of a metropolitan network considering the impact in the IT infrastructural cost that latency requirements may impose, by forcing the placement of decentralized data centers closer to the user

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Summary

INTRODUCTION

T HE infrastructure in telecom operators’ central offices (COs) has notably evolved in recent years with advancements in software-defined networking (SDN) [2] and network function virtualization (NFV) [3]. The nucleus of the Metro Haul proposal is the dynamic interconnectivity of two different types of nodes, access metro edge node (AMEN) and metro core edge node (MCEN), both with computational capabilities to permit SDN/NFV functionalities to provision VNFs close to the end users. In this context, SDN and NFV are considered two major technology enablers for realizing 5G networks [6]. We consider both online short-term resource provisioning actions and mid-to-long term offline planning/dimensioning decisions of SDN/NFV-enabled metropolitan networks paying special attention to the latency role in the latter case. Several subroutines contained in LA-ML-SCA to iteratively provision network resources (i.e. with the goal of network planning) are used to assist ETSI Open-Source MANO (OSM) [10] in multi- virtual infrastructure managers (VIMs), multi-VNFs network service instantiation and multi-layer WAN resource allocation with a unified approach

RELATED WORK
Our Contribution
Topology Description
Traffic Model
Latency Assumptions and Requirements
Cost Model
Create empty list of established lighpaths
NIW MURCIA-ALICANTE USE-CASE EVALUATION
LA-ML-SCA Algorithm
Simulation Results and Discussion
NFV-IP-WDM EXPERIMENTAL DEMONSTRATION
Workflow of the WAN-Based Network Service Instantiation
Testbed Configuration and Experimental Outcomes
Findings
CONCLUSION
Full Text
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