Optimal Representations of a Traffic Distribution in Switch Memories

Yaniv Sadeh, Ori Rottenstreich, Arye Barkan, Yossi Kanizo, Haim Kaplan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Traffic splitting is a required functionality in networks, for example for load balancing over multiple paths or among different servers. The capacity of each server or path implies the distribution by which traffic should be split. A recent approach implements traffic splitting within the ternary content addressable memory (TCAM), which is often available in switches. It is important to reduce the amount of memory allocated for this task since TCAMs are power hungry and are often also required for other tasks such as classification and routing. For splitting a universe of 2W addresses into k pieces of particular sizes, we give a simple algorithm that computes an optimal representation in Owk time. Furthermore, we prove that a recently published load balancer, called Niagara, which also runs in O(wk) time is in fact optimal. That is, both our algorithm and Niagara produce the smallest possible TCAM that splits the traffic exactly to the required pieces, where the only previously known algorithm for computing optimal exact representation has running time exponential in k. Finally, we rely on our optimal O(wk) runtime algorithm to investigate through extensive experiments the amount of TCAM memory required to represent traffic splitting in typical scenarios.

Original languageEnglish
Title of host publicationINFOCOM 2019 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)9781728105154
StatePublished - Apr 2019
Event2019 IEEE Conference on Computer Communications, INFOCOM 2019 - Paris, France
Duration: 29 Apr 20192 May 2019

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Conference2019 IEEE Conference on Computer Communications, INFOCOM 2019


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