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SDN Enhanced Ethernet VPN for Data Center Interconnect
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication, DISCO)ORCID iD: 0000-0001-9866-8209
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication, DISCO)ORCID iD: 0000-0002-9446-8143
2017 (English)In: 2017 IEEE 6th International Conference on Cloud Networking (CloudNet) / [ed] Maga, D, IEEE, 2017, p. 77-82Conference paper, Published paper (Refereed)
Abstract [en]

Ethernet Virtual Private Network (EVPN) is an emerging technology that addresses the networking challenges presented by geo-distributed Data Centers (DCs). One of the major advantages of EVPN over legacy layer 2 VPN solutions is providing All-Active (A-A) mode of operation so that the traffic can truly be multi-homed on Provider Edge (PE) routers. However, A-A mode of operation introduces new challenges. In the case where the Customer Edge (CE) router is multi-homed to one or more PE routers, it is necessary that only one of the PE routers should forward Broadcast, Unknown unicast, and Multicast (BUM) traffic into the DC. The PE router that assumes the primary role for forwarding BUM traffic to the CE device is called the Designated Forwarder (DF). The proposed solution to select the DF in the EVPN standard is based on a distributed algorithm which has a number of drawbacks such as unfairness and intermittent behavior. In this paper, we introduce a Software-Defined Networking (SDN) based architecture for EVPN support, where the SDN controller interacts with EVPN control plane. We demonstrate how our solution mitigates existing problems for DF selection which leads to improved EVPN performance.

Place, publisher, year, edition, pages
IEEE, 2017. p. 77-82
Series
IEEE International Conference on Cloud Networking, ISSN 2374-3239
National Category
Computer Sciences Software Engineering Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-66892DOI: 10.1109/CloudNet.2017.8071535ISI: 000426957400013ISBN: 978-1-5090-4026-1 (print)OAI: oai:DiVA.org:kau-66892DiVA, id: diva2:1194203
Conference
IEEE 6th International Conference on Cloud Networking (CloudNet), SEP 25-27, 2017, Prague, Czech republic
Available from: 2018-03-29 Created: 2018-03-29 Last updated: 2018-11-19Bibliographically approved
In thesis
1. Towards Seamless Live Migration in SDN-Based Data Centers
Open this publication in new window or tab >>Towards Seamless Live Migration in SDN-Based Data Centers
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2018. p. 25
Series
Karlstad University Studies, ISSN 1403-8099 ; 2018:55
Keywords
Data Center, Data Center Interconnection, EVPN, SDN, VM Migration
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
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 (English)
Opponent
Supervisors
Available from: 2018-11-28 Created: 2018-11-19 Last updated: 2018-11-28Bibliographically approved

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Alizadeh Noghani, KyoomarsKassler, Andreas

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