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An Approximation Algorithm for Incrementally Deploying SDN Forwarding Devices

Published: 05 January 2018 Publication History

Abstract

There are two main optimization problems in software defined networks' traffic engineering, selecting conventional nodes to upgrade to SDN nodes, and finding a routing technique that minimize link utilization. While the second problem is almost solved, there are still not many theoretical results for the first problem. The approximation ratio of the only approximation algorithm for these problems is still as large as O(n), when n is the number of nodes. In this paper, we show that the problem is NP-hard, even for the single-source single-sink case. We then develop an algorithm for the case, and prove that our algorithm is kd-approximation algorithm, when k is the number of nodes to upgrade and d is the maximum degree of networks. We strongly believe that our algorithm can be extended to general cases in future.

References

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Published In

cover image ACM Other conferences
IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
January 2018
628 pages
ISBN:9781450363853
DOI:10.1145/3164541
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • SKKU: SUNGKYUNKWAN UNIVERSITY

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 January 2018

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Author Tags

  1. Graph Theory
  2. Networking/ Telecommunications
  3. SDN

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  • Short-paper
  • Research
  • Refereed limited

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  • JST ERATO

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IMCOM '18

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IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
Overall Acceptance Rate 213 of 621 submissions, 34%

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