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A Model for QoS-Aware VNF Placement and Provisioning
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (DIStributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0001-7529-9324
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0003-4147-9487
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (DIStributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0001-9194-010X
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (DIStributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0001-7311-9334
2017 (English)In: Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017 IEEE Conference on / [ed] IEEE, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Network Function Virtualization (NFV) is a promising solution for telecom operators and service providers to improve business agility, by enabling a fast deployment of new services, and by making it possible for them to cope with the increasing traffic volume and service demand. NFV enables virtualization of network functions that can be deployed as virtual machines on general purpose server hardware in cloud environments, effectively reducing deployment and operational costs. To benefit from the advantages of NFV, virtual network functions (VNFs) need to be provisioned with sufficient resources and perform without impacting network quality of service (QoS). To this end, this paper proposes a model for VNFs placement and provisioning optimization while guaranteeing the latency requirements of the service chains. Our goal is to optimize resource utilization in order to reduce cost satisfying the QoS such as end- to-end latency. We extend a related VNFs placement optimization with a fine-grained latency model including virtualization overhead. The model is evaluated with a simulated network and it provides placement solutions ensuring the required QoS guarantees. 

Place, publisher, year, edition, pages
IEEE, 2017.
Keywords [en]
NFV, QoS, VNF, placement, provisioning, virtualization, network, network function virtualization
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-62556DOI: 10.1109/NFV-SDN.2017.8169829ISBN: 978-1-5386-3285-7 (electronic)ISBN: 978-1-5386-3286-4 OAI: oai:DiVA.org:kau-62556DiVA, id: diva2:1128841
Conference
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Berlin, Germany, November 2017
Projects
High Quality Networked Services in a Mobile World (HITS)
Funder
Knowledge FoundationAvailable from: 2017-07-29 Created: 2017-07-29 Last updated: 2018-06-04Bibliographically approved
In thesis
1. Telecom Networks Virtualization: Overcoming the Latency Challenge
Open this publication in new window or tab >>Telecom Networks Virtualization: Overcoming the Latency Challenge
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Telecom service providers are adopting a Network Functions Virtualization (NFV) based service delivery model, in response to the unprecedented traffic growth and an increasing customers demand for new high-quality network services. In NFV, telecom network functions are virtualized and run on top of commodity servers. Ensuring network performance equivalent to the legacy non-virtualized system is a determining factor for the success of telecom networks virtualization. Whereas in virtualized systems, achieving carrier-grade network performance such as low latency, high throughput, and high availability to guarantee the quality of experience (QoE) for customer is challenging.

In this thesis, we focus on addressing the latency challenge. We investigate the delay overhead of virtualization by comprehensive network performance measurements and analysis in a controlled virtualized environment. With this, a break-down of the latency incurred by the virtualization and the impact of co-locating virtual machines (VMs) of different workloads on the end-to-end latency is provided. We exploit this result to develop an optimization model for placement and provisioning of the virtualized telecom network functions to ensure both the latency and cost-efficiency requirements.

To further alleviate the latency challenge, we propose a multipath transport protocol MDTCP, that leverage Explicit Congestion Notification (ECN) to quickly detect and react to an incipient congestion to minimize queuing delays, and achieve high network utilization in telecom datacenters.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2018. p. 28
Series
Karlstad University Studies, ISSN 1403-8099 ; 2018:24
Keywords
NFV, Telecom networks virtualization, latency, virtualization, cloud computing, network congestion, QoS
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67243 (URN)978-91-7063-857-2 (ISBN)978-91-7063-952-4 (ISBN)
Presentation
2018-06-13, 21A342, Karlstad, 10:15 (English)
Opponent
Supervisors
Available from: 2018-05-23 Created: 2018-04-30 Last updated: 2018-05-23Bibliographically approved

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Oljira, Dejene BoruGrinnemo, Karl-Johan

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