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Cheap silicon: a myth or reality? picking the right data plane hardware for software defined networking

Authors:

Gergely Pongrácz,

László Molnár,

Zoltán Lajos Kis,

Zoltán TurányiAuthors Info & Claims

HotSDN '13: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking

Pages 103 - 108

https://doi.org/10.1145/2491185.2491204

Published: 16 August 2013 Publication History

Abstract

Software-Defined Networking (SDN) promises the vision of more flexible and manageable networks, but requires certain level of programmability in the data plane. Current industry insight holds that programmable network processors are of lower performance than their hard-coded counterparts, such as Ethernet chips. This represents a roadblock to SDN adoption. In this paper we argue that contrast to the common view, the overhead of programmability is relatively low. We also argue that the apparent difference between programmable and hard-coded chips today is not primarily due to programmability itself, but because the internal balance of programmable network processors is tuned to more complex use cases. These arguments are backed with calculations and real-life measurements.

References

[1]

Marvell Prestera 98CX8297 (a.k.a. Lion 2) -- Next Generation Switch Fabric for Modular Platforms -- Product Brief

[2]

FocalPoint FM6000 Series -- Data Center CEE/DCB Switch Chip Family -- Product Brief

[3]

Intel® FM6000 Ethernet Switches 72-Port 10G Ethernet L2/L3/L4 Chip -- Users Guide

[4]

BCM56840 Series -- High-Capacity StrataXGS® Trident Ethernet Switch Series with Integrated 10G Serial PHY

[5]

EzChip NP-4 100-Gigabit Network Processor for Carrier Ethernet Applications -- Product Brief

[6]

Roy Rubenstein: Processor developers respond to new demands on telecom carriers and content providers -- tech article, newelectronics online news portal

[7]

Marvell Xelerated AX Family of Programmable Ethernet Switches -- product brief

[8]

Netronome Goes With the Flow -- NFP-6xxx Transcends Network-Processing Categories -- Linley Microprocessor Report

[9]

TILE-Gx8036 -- Processor -- Specification Brief

[10]

Impressive Packet Processing Performance Enables Greater Workload Consolidation -- Packet Processing on Intel Architecture -- Solution Brief

[11]

Chandrakant D. Patel, Amip J. Shah: Cost Model for Planning, Development and Operation of a Data Center

[12]

R. A. Philpott, J. S. Humble, R. A. Kertis, K. E. Fritz, B. K. Gilbert, E. S. Daniel: A 20Gb/s SerDes Transmitter with Adjustable Source Impedance and 4-tap Feed-Forward Equalization in 65nm Bulk CMOS

[13]

Recep Ozdag: Intel® Ethernet Switch FM6000 Series -- Software Defined Networking

[14]

Ericsson strengthens its 4th generation IP portfolio -- press release of SNP 4000

[15]

Cortex--M3 Technical Reference Manual -- Processor instruction timings

[16]

Géza Szabó, János Szüle, Bruno Lins, Zoltán Turányi, Gergely Pongrácz, Djamel Sadok, Stenio Fernandes: Capturing the Real Influencing Factors of Traffic for Accurate Traffic Identification

[17]

Ulrich Drepper: What Every Programmer Should Know About Memory

Cited By

Hypolite JSonchack JHershkop SDautenhahn NDeHon ASmith JHan DFeldmann A(2020)DeepMatchProceedings of the 16th International Conference on emerging Networking EXperiments and Technologies10.1145/3386367.3431290(336-350)Online publication date: 23-Nov-2020
https://dl.acm.org/doi/10.1145/3386367.3431290
Csikor LSzalay MRetvari GPongracz GPezaros DToka L(2020)Transition to SDN is HARMLESS: Hybrid Architecture for Migrating Legacy Ethernet Switches to SDNIEEE/ACM Transactions on Networking10.1109/TNET.2019.295876228:1(275-288)Online publication date: Feb-2020
https://doi.org/10.1109/TNET.2019.2958762
Csikor LToka LSzalay MPongracz GPezaros DRetvari G(2018)HARMLESS: Cost-Effective Transitioning to SDN for Small Enterprises2018 IFIP Networking Conference (IFIP Networking) and Workshops10.23919/IFIPNetworking.2018.8696504(1-9)Online publication date: May-2018
https://doi.org/10.23919/IFIPNetworking.2018.8696504
Show More Cited By

Index Terms

Cheap silicon: a myth or reality? picking the right data plane hardware for software defined networking
1. Networks
  1. Network types
    1. Packet-switching networks

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Published In

cover image ACM Conferences

HotSDN '13: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking

August 2013

182 pages

ISBN:9781450321785

DOI:10.1145/2491185

Program Chairs:
Nate Foster
Cornell University
,
Rob Sherwood
Big Switch Networks

Copyright © 2013 ACM.

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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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 August 2013

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SIGCOMM'13

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SIGCOMM

SIGCOMM'13: ACM SIGCOMM 2013 Conference

August 16, 2013

Hong Kong, China

Acceptance Rates

HotSDN '13 Paper Acceptance Rate 38 of 84 submissions, 45%;

Overall Acceptance Rate 88 of 198 submissions, 44%

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Cited By

Hypolite JSonchack JHershkop SDautenhahn NDeHon ASmith JHan DFeldmann A(2020)DeepMatchProceedings of the 16th International Conference on emerging Networking EXperiments and Technologies10.1145/3386367.3431290(336-350)Online publication date: 23-Nov-2020
https://dl.acm.org/doi/10.1145/3386367.3431290
Csikor LSzalay MRetvari GPongracz GPezaros DToka L(2020)Transition to SDN is HARMLESS: Hybrid Architecture for Migrating Legacy Ethernet Switches to SDNIEEE/ACM Transactions on Networking10.1109/TNET.2019.295876228:1(275-288)Online publication date: Feb-2020
https://doi.org/10.1109/TNET.2019.2958762
Csikor LToka LSzalay MPongracz GPezaros DRetvari G(2018)HARMLESS: Cost-Effective Transitioning to SDN for Small Enterprises2018 IFIP Networking Conference (IFIP Networking) and Workshops10.23919/IFIPNetworking.2018.8696504(1-9)Online publication date: May-2018
https://doi.org/10.23919/IFIPNetworking.2018.8696504
Fu WLi TSun Z(2018)FASSecurity and Communication Networks10.1155/2018/56502052018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/5650205
Szalay MToka LRétvári GPongrácz GCsikor LPezaros DBurke JWählisch MZhang NMeyer DSharma P(2017)HARMLESSProceedings of the SIGCOMM Posters and Demos10.1145/3123878.3131997(91-93)Online publication date: 22-Aug-2017
https://dl.acm.org/doi/10.1145/3123878.3131997
Baldi MSapio A(2015)A network function modeling approach for performance estimation2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)10.1109/RTSI.2015.7325152(527-533)Online publication date: Sep-2015
https://doi.org/10.1109/RTSI.2015.7325152
Nobach LHausheer D(2015)Open, elastic provisioning of hardware acceleration in NFV environments2015 International Conference and Workshops on Networked Systems (NetSys)10.1109/NetSys.2015.7089057(1-5)Online publication date: Mar-2015
https://doi.org/10.1109/NetSys.2015.7089057
Sapio ABaldi MPongrácz G(2015)Cross-Platform Estimation of Network Function PerformanceProceedings of the 2015 Fourth European Workshop on Software Defined Networks10.1109/EWSDN.2015.64(73-78)Online publication date: 30-Sep-2015
https://dl.acm.org/doi/10.1109/EWSDN.2015.64
Kempf JBalachandran K(2015)EPC in the CloudSoftware Defined Mobile Networks (SDMN)10.1002/9781118900253.ch7(107-128)Online publication date: 19-Jun-2015
https://doi.org/10.1002/9781118900253.ch7
Goransson PBlack C(2014)SDN FuturesSoftware Defined Networks10.1016/B978-0-12-416675-2.00013-9(281-294)Online publication date: 2014
https://doi.org/10.1016/B978-0-12-416675-2.00013-9
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