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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. (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. (Distributed systems and communication, DISCO))ORCID iD: 0000-0002-9446-8143
2017 (English)In: The Proceedings of the 2017 IEEE 6th International Conference on Cloud Networking (CloudNet), IEEE, 2017Conference 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.
Keyword [en]
computer centres, computer network performance evaluation, distributed algorithms, LAN interconnection, local area networks, multicast communication, telecommunication network routing, telecommunication traffic, virtual private networks
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-64574DOI: 10.1109/CloudNet.2017.8071535ISBN: 978-1-5090-4026-1 (electronic)OAI: oai:DiVA.org:kau-64574DiVA: diva2:1159401
Conference
IEEE International Conference on Cloud Networking (IEEE CloudNet) 2017, 25-27 September 2017, Prague, Czech Republic
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-11-22 Created: 2017-11-22 Last updated: 2017-11-22

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Alizadeh Noghani, KyomaarsKassler, Andreas
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