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Automating Ethernet VPN deployment in SDN-based Data Centers
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Computer Networking, DISCO)ORCID-id: 0000-0001-9866-8209
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Computer Networking, DISCO)ORCID-id: 0000-0001-7734-1653
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Distributed systems and communication (DISCO))ORCID-id: 0000-0002-9446-8143
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0001-8802-504X
Vise andre og tillknytning
2017 (engelsk)Inngår i: 2017 Fourth International Conference on Software Defined Systems (SDS)., IEEE, 2017, s. 61-66Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Layer 2 Virtual Private Network (L2VPN) is widely deployed in both service provider networks and enterprises. However, legacy L2VPN solutions have scalability limitations in the context of Data Center (DC) interconnection and networking which require new approaches that address the requirements of service providers for virtual private cloud services. Recently, Ethernet VPN (EVPN) has been proposed to address many of those concerns and vendors started to deploy EVPN based solutions in DC edge routers. However, manual configuration leads to a time-consuming, error-prone configuration and high operational costs. Automating the EVPN deployment from cloud platforms such as OpenStack enhances both the deployment and flexibility of EVPN Instances (EVIs). This paper proposes a Software Defined Network (SDN) based framework that automates the EVPN deployment and management inside SDN-based DCs using OpenStack and OpenDaylight (ODL). We implemented and extended several modules inside ODL controller to manage and interact with EVIs and an interface to OpenStack that allows the deployment and configuration of EVIs. We conclude with scalability analysis of our solution.

sted, utgiver, år, opplag, sider
IEEE, 2017. s. 61-66
Emneord [en]
cloud computing, computer centres, local area networks, software defined networking, virtual private networks
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-65144DOI: 10.1109/SDS.2017.7939142ISI: 000405190400010ISBN: 978-1-5386-2855-3 (digital)OAI: oai:DiVA.org:kau-65144DiVA, id: diva2:1155826
Konferanse
Fourth International Conference on Software Defined Systems (SDS) 2017. 8-11 May, 2017. Valencia, Spain.
Prosjekter
HITS
Forskningsfinansiär
Knowledge FoundationTilgjengelig fra: 2017-11-09 Laget: 2017-11-09 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Inngår i avhandling
1. Towards Seamless Live Migration in SDN-Based Data Centers
Åpne denne publikasjonen i ny fane eller vindu >>Towards Seamless Live Migration in SDN-Based Data Centers
2018 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Live migration of Virtual Machines (VMs) has significantly improved the flexibility of modern Data Centers (DCs). Ideally, live migration ought to be seamless which in turn raises challenges on how to minimize service disruption and avoid performance degradation. To address these challenges, a comprehensive support from the underlying network is required. However, legacy DC networks fall short to help as they take a reactive approach to live migration procedure. Moreover, the complexity and inflexibility of legacy DC networks make it difficult to deploy, manage, and improve network technologies that DC providers may need to use for migration.

In this thesis, we explore the application of Software Defined Networking (SDN) paradigm for making live VM migration more seamless. Exploiting the characteristics of SDN such as its centralized view on network states, we contribute to the body of knowledge by enhancing the quality of intra- and inter-DC live migration. Firstly, for intra-DC migration, we provide an SDN-based solution which minimizes the service disruption by employing OpenFlow-based resiliency mechanisms to prepare a DC network for migration proactively. Secondly, we improve the inter-DC live migration by accelerating the network convergence through announcing the migration in the control plane using MP-BGP protocol. Further, our proposed framework resolves the sub-optimal routing problem by conducting the gateway functionality at the SDN controller. Finally, with the ultimate goal of improving the inter-DC migration, we develop an SDN-based framework which automates the deployment, improves the management, enhances the performance, and increases the scalability of interconnections among DCs.

Abstract [en]

Live migration of Virtual Machines (VMs) has significantly improved the flexibility of modern Data Centers (DCs). Ideally, live migration ought to be seamless which requires a comprehensive support from the underlying network. However, legacy DC networks fall short to address the challenges of migration due to their inflexible and decentralized characteristics. In contrast, Software Defined Networking (SDN) is a new networking paradigm, which has the potential to improve the live migration thanks to its comprehensive view over the network, flexible structure, and its close integration with DC management infrastructures.

This thesis investigates networking challenges of short and long-haul live VM migration in SDN-based DCs. We propose solutions to make the intra- and inter-DC live migration procedures more seamless. Furthermore, our proposed SDN-based framework for inter-DC migration improves the management, enhances the performance, and increases the scalability of interconnections among DCs.

sted, utgiver, år, opplag, sider
Karlstad: Karlstads universitet, 2018. s. 25
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:55
Emneord
Data Center, Data Center Interconnection, EVPN, SDN, VM Migration
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70166 (URN)978-91-7063-896-1 (ISBN)978-91-7063-991-3 (ISBN)
Presentation
2018-12-19, Universitetsgatan 2, Karlstad, 09:15 (engelsk)
Opponent
Veileder
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2018-11-28 Laget: 2018-11-19 Sist oppdatert: 2019-11-07bibliografisk kontrollert
2.
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