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EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Computer Networking, 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). (Computer Networking, DISCO)ORCID iD: 0000-0002-9446-8143
Ericsson, USA.
2018 (English)In: 4th IEEE Conference on Network Softwarization (NetSoft), IEEE, 2018, p. 105-113Conference paper, Published paper (Refereed)
Abstract [en]

Live Virtual Machine (VM) migration has significantly improved the flexibility of modern Data Centers (DC). However, seamless live migration of a VM between geo-distributed DCs faces several challenges due to difficulties in preserving the network configuration after the migration paired with a large network convergence time. Although SDN-based approaches can speed up network convergence time, these techniques have two limitations. First, they typically react to the new topology by installing new flow rules once the migration is finished. Second, because the WAN is typically not under SDN control, they result in sub-optimal routing thus severely degrading the network performance once the VM is attached at the new location.

In this paper, we identify networking challenges for VM migration across geo-distributed DCs. Based on those observations, we design a novel long-haul VM migration scheme that overcomes those limitations. First, instead of reactively restoring connectivity after the migration, our SDN-based approach proactively restores flows across the WAN towards the new location with the help of EVPN and VXLAN overlay technologies. Second, the SDN controller accelerates the network convergence by announcing the migration to other controllers using MP-BGP control plane messages. Finally, the SDN controller resolves the sub-optimal routing problem that arises as a result of migration implementing a distributed anycast gateway. We implement our approach as extensions to the OpenDaylight controller. Our evaluation shows that our approach outperforms existing approaches in reducing the downtime by 400 ms and increasing the application performance up to 12 times.

Place, publisher, year, edition, pages
IEEE, 2018. p. 105-113
Keywords [en]
Data Center, Ethernet VPN, Software Defined Networks, Distributed Gateway, VM Migration
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-70164DOI: 10.1109/NETSOFT.2018.8459946ISI: 000455125000012ISBN: 978-1-5386-4633-5 (electronic)OAI: oai:DiVA.org:kau-70164DiVA, id: diva2:1264074
Conference
4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018.
Projects
HITS
Funder
Knowledge FoundationAvailable from: 2018-11-19 Created: 2018-11-19 Last updated: 2019-12-12Bibliographically 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
Projects
HITS, 4707
Funder
Knowledge Foundation
Available from: 2018-11-28 Created: 2018-11-19 Last updated: 2019-11-07Bibliographically approved
2.
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Alizadeh Noghani, KyoomarsKassler, Andreas

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