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Policy-based routing and load balancing for EVPN-based data center interconnections
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: 0000-0001-7734-1653
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). Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (Distributed systems and communication, DISCO)ORCID iD: 0000-0002-9446-8143
University of Zagreb, Croatia.
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2017 (English)In: Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

The Ethernet VPN (EVPN) technology has emerged as a key solution for the interconnection of geo-distributed Data Centers (DCs) over provider-managed MPLS networks. Such interconnections need to satisfy service-level agreements, which can be achieved by enforcing Traffic Engineering (TE) policies. However, deploying an effective TE policy is challenging and complex. This stems from the fact that network administrators should have a detailed insight into the network status and protocol specifics. Software-Defined Networking (SDN) may facilitate both the policy definition and deployment based on its comprehensive network view and existing integration with DC management systems, such as OpenStack. This paper presents an SDN-based framework for policy-driven DC interconnections that are built around EVPN. The framework is designed to translate routing and other TE policies, which are defined for EVPN instances, into appropriate low-level network actions to meet the policy goals. A generic programming interface allows an SDN controller to load different TE strategies so as to implement the policy, without the need to hard-code it. Moreover, our evaluations illustrate how clients might benefit from specific TE strategies and what is their impact on network performance

Place, publisher, year, edition, pages
IEEE, 2017.
Keywords [en]
Cloud Networking, Ethernet Virtual Private Network (EVPN), Software-Defined Networking (SDN), Routing Policy Management, OpenStack, OpenDaylight
National Category
Computer Sciences Software Engineering Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65600DOI: 10.1109/NFV-SDN.2017.8169841ISI: 000426936400019ISBN: 978-1-5386-3285-7 (electronic)OAI: oai:DiVA.org:kau-65600DiVA, id: diva2:1174168
Conference
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 6-8 Nov. 2017, Berlin, Germany
Available from: 2018-01-15 Created: 2018-01-15 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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Hernandez Benet, CristianAlizadeh Noghani, KyoomarsKassler, Andreas

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