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Dynam-IX: a Dynamic Interconnection exchange

Published: 16 July 2018 Publication History

Abstract

Internet connectivity is changing: Autonomous Systems (ASes) can now reach hundreds of networks directly through interconnections at Internet eXchange Points (IXPs) while reducing latency and improving traffic delivery performance and competitiveness. Despite the benefits, any pair of ASes needs first to agree on exchanging traffic. The current process to interconnect is mostly a manual and lengthy process that is heavily influenced by personal relationships and brand image. As a result, ASes miss interconnection opportunities and prefer long-term agreements at the expense of a potential mismatch between actual delivery performance and current Internet traffic dynamics.
To improve wide-area traffic delivery performance, we propose Dynam-IX, a privacy-aware framework that allows network operators to build trust cooperatively and quickly adapt their traffic engineering policies to exploit the rich interconnection opportunities at IXPs. Dynam-IX offers a protocol to automate the process of establishing interconnection agreements, a high-level interconnection intent abstraction to express interconnection policies, a legal framework to handle contracts, and a distributed tamper-proof ledger to create trust among ASes cooperatively. Our prototype shows that ASes can establish tens of agreements within a minute, unleashing traffic engineering possibilities, increasing peering port utilization and creating new economic opportunities.

Cited By

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  • (2020)Spoofed traffic inference at IXPs: Challenges, methods and analysisComputer Networks10.1016/j.comnet.2020.107452182(107452)Online publication date: Dec-2020

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Published In

cover image ACM Conferences
ANRW '18: Proceedings of the 2018 Applied Networking Research Workshop
July 2018
102 pages
ISBN:9781450355858
DOI:10.1145/3232755
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2018

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ANRW '18
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ANRW '18: Applied Networking Research Workshop
July 16, 2018
QC, Montreal, Canada

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Overall Acceptance Rate 34 of 58 submissions, 59%

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Cited By

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  • (2020)Spoofed traffic inference at IXPs: Challenges, methods and analysisComputer Networks10.1016/j.comnet.2020.107452182(107452)Online publication date: Dec-2020

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